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Positions in Machine Learning & Neuroimaging
We are opening two researcher positions to work on a Wellcome Trust project focusing on developing and applying machine learning models to investigate complex relationships between neuroimaging data and multidimensional descriptions of mental health disorders. This research will be conducted within the Machine Learning & Neuroimaging Lab based at the Computer Science Department at University College London.
Research Associate in Machine Learning & Neuroimaging The Research Associate will be mainly responsible for developing novel machine learning models to combine data from different neuroimaging techniques and non-imaging information for diagnosis and prognosis of mental health disorders (e.g. multiple kernel learning, multiple sources models). For further details see: http://tinyurl.com/pg37b9q
Research Assistant/Research Associate in Machine Learning & Neuroimaging The Research Assistant/Associate will be mainly responsible for developing and integrating novel machine learning models into the Pattern Recognition for Neuroimaging Toolbox (PRoNTo, http://www.mlnl.cs.ucl.ac.uk/pronto/). For further details see: http://tinyurl.com/nz9yslq
Interested candidates should contact Dr Janaina Mourao-Miranda (j.mourao-miranda@ucl.ac.uk).
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Dr. Janaina Mourao-Miranda
Wellcome Trust Senior Research Fellow
Centre for Computational Statistics and Machine Learning
University College London
Malet Place, London WC1E 6BT, UK
E-mail: J.Mourao-Miranda@cs.ucl.ac.uk
Website: http://www.mlnl.cs.ucl.ac.uk/
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Research Study Assistant
To apply for this position please follow the link:
http://www.childrenshospital.org/career-opportunities/JobDetail?jobId=212930...
The Research Study Assistant will be responsible for:
• Preparing the lab for electrophysiological (human) recordings.
• Helping with data collection, data organization, data pre-processing/analysis, ordering supplies and equipment for the lab, and maintaining the day-to-day operations of the lab.
• Preparing and organizing documentation for the studies and laboratory (e.g. brochures, family education sheets, study record sheets etc.).
• Helping the team members to submit protocols, amendments, notices, suspensions and terminations to the Institutional Review Board for review and approval.
To qualify, you must have…
• B.A., B.Sc. or M.A. or M.Sc. degree in a relevant field of study.
• Experience with human electrophysiological data collection.
• Very strong organizational skills, must be self-motivated, resourceful, able to multi-task and prioritize.
• Very strong written and verbal communication skills.
• Ability to work well in teams, and interpersonal skills (both with families/participants and the research team members).
• Complete fluency in English is required since there will be frequent interactions with the family members as well as children during recording sessions.
• Basic computer experience, including knowledge of Microsoft Office applications.
Optional Requirements:
• Experience in working in a research environment.
• Experience in working in a research environment.
• Excellent statistical, computer programming (including MATLAB and/or Python) and EEG/MEG analysis (Brainstorm, SPM, Fieldtrip, or MNE) skills would be an added advantage.
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3.
Clinical Research Coordinator
To apply for this position please follow the link:
http://www.childrenshospital.org/career-opportunities/JobDetail?jobId=212932...
The Research Study Coordinator will be responsible for:
• Advertisement of research studies.
• Recruiting (human) participants and assessing their eligibility for the studies.
• Scheduling participants and greeting them at the hospital.
• Reviewing the consenting process, and maintaining a database and documentation of all the participants.
• Preparing brochures, website content, and other recruitment materials for the BabyMEG Lab.
• Helping the team to submit protocols, amendments, notices, suspensions and terminations to the Institutional Review Board for review and approval.
To qualify, you must have…
• A Bachelor's degree in a scientific or heath related field.
• 0 - 2 years experience as a clinical research coordinator.
• Native speaker of the American English language.
• Very strong written and verbal communication skills.
• Very strong organizational skills, must be self-motivated, resourceful, able to multi-task and prioritize.
• Ability to work well in teams, with excellent interpersonal skills.
• Basic computer experience, including knowledge of Microsoft Office applications.
Optional Requirements:
• Experience in working with young children.
• Experience in working in a research environment.
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POSTDOCTORAL FELLOW Human Neuroscience and Visual Cognition & ASTECCA Laboratories, Department of Psychology, Wright State University
We are seeking a postdoctoral fellow to take a leading role in our research on the neurocognitive correlates of attentional control and lapses of attention in semi-structured ecological settings. The goal of this project is to rigorously characterize the relationship between laboratory measures of attentional control and failures of attention in realistic task contexts. We specifically aim to combine cognitive behavioral studies, ERP experiments, and computational modeling to test the extent to which laboratory measures can predict individual differences in susceptibility to attentional failures. We will investigate how these combined measures can be used to identify which individuals are most likely to benefit from a cognitive training paradigm aimed at enhancing attentional control. The postdoctoral fellow will be responsible for designing the studies, programming the experimental paradigms, recruiting participants, and collecting the data. In addition, the fellow will be responsible for data analysis and reporting the research findings in peer-reviewed journals.
The position is fully funded for three years. The successful candidate will hold a PhD in Cognitive Neuroscience, Cognitive Psychology, Computer Science, or any other related discipline by the start date of the position. Experience in computer programming, especially with Matlab, and familiarity with fMRI or EEG research are required. Experience in computational cognitive modeling will be considered a strong advantage.
The Department of Psychology is housed in the College of Science and Mathematics, offers a Ph.D. in Human Factors and Industrial/ Organizational Psychology, and has 3 undergraduate concentration areas: (1) Cognition and Perception, (2) Industrial/ Organizational, and (3) Behavioral Neuroscience. Wright State University was recently ranked among the “Best in the Midwest” universities by The Princeton Review, listed among 260 Best National Universities in the annual “America’s Best Colleges” rankings by U.S. News and World Report, and ranked fourth nationally among universities with limited numbers of doctoral programs in the Faculty Scholarly Productivity Index. Wright State University is an Equal Opportunity/Affirmative Action Employer.
For more information on this position contact Assaf Harel, Ph.D. at assaf.harel@wright.edu or Ion Juvina, Ph.D. at ion.juvina@wright.edu. Applicants should visit the following link to upload CV and statement of research: http://jobs.wright.edu/postings/9380. In addition, please have three letters of reference sent directly to Ion Juvina, Ph.D., Assistant Professor, Department of Psychology, 313G Fawcett Hall, 3640 Colonel Glenn Hwy, Wright State University, Dayton, OH 45435.
Review of complete applications will begin August 8, 2015, and continue until the position is filled. All new hires must go through a criminal background check before they can be hired.
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Open position: Neuroimaging Post-doctoral fellow, Dementia Imaging Genetics Lab, University of California, San Francisco
Job Summary
The fellow will conduct human neuroimaging research on participants with preclinical and symptomatic genetic neurodegenerative disease. Current imaging techniques include voxel-based morphometry and functional MRI, with an emphasis on intrinsic functional connectivity network mapping (also referred to as "resting-state" or "task-free fMRI"). The ideal candidate will have an interest in genetics, frontal systems, neuroanatomy, fMRI methods/biomarker development, or a combination. The fellow will contribute to ongoing experiments and pursue self-directed projects within the lab's area of investigation.
Required Qualifications
Appropriate areas of doctoral training include but are not limited to neuroscience, bioengineering, applied mathematics, or computer science. Strong computational skills, including script writing or programming are required.
Please direct inquiries to Dr. Lee by sending a cover letter, CV, and at least 3 references to suzee.lee@ucsf.edu.
website: http://www.suzeelee.ucsf.edu/open-positions/
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6.
The Pediatric Mood and Anxiety Disorders Program (P-MAP) and the Translational and Molecular Imaging Institute (TMII) at the Icahn School of Medicine at Mount Sinai (ISMMS) are seeking a highly motivated post-doctoral scholar in neuroimaging. The focus of this position will be on analyzing fMRI and/or MRS data.
Candidates should have (or nearing completion of) a PhD in neuroscience, psychology, cognitive science, radiology, engineering, or a related field, and should have a strong background in quantitative analysis. Proficiencies with at least one neuroimaging analysis software (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome workbench, etc.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, or R programming language is a plus.
The postdoctoral scholar will be mentored jointly by Dr. Vilma Gabbay and Dr. Junqian (Gordon) Xu, with the expectation for him/her to advance both clinical and methodological knowledge through this postdoctoral training. The P-MAP under the direction of Vilma Gabbay, MD, is a unique program in the greater New York metropolitan area dedicated exclusively to the study and treatment of adolescent mood and anxiety disorders, utilizing innovative neuroimaging and immunological methodologies. The neuroimaging program led by Junqian (Gordon) Xu, PhD, has extensive knowledge about the Human Connectome Project (HCP) data acquisition and analysis, and is dedicated to advancing magnetic resonance imaging and spectroscopy techniques.
TMII is equipped with cutting-edge Siemens MRI scanners dedicated to research: 3T Skyra (32ch and 16ch head coils) and whole-body actively shielded 7T (32ch Nova head coil). One campus wide supercomputer and one TMII wide center cluster are fully accessible for data analysis and algorithm development.
The postdoctoral fellow's primary responsibility is to analyze neuroimaging data from funded research projects. In addition, the mentors are fully committed to fostering the trainee's research independence through first-author manuscript writing and assisting in the PIs' grant applications. The candidate is highly encouraged to pursue his/her own research project through NIH F32 or foundation fellowship applications by the end of the first year.
The initial employment is for two-years, with possible extension. Salary will be commensurate with experience and the cost of living in the New York City. Subsidized housing close to Mount Sinai campus (upper east side, Manhattan) is available.
Please send CV (with 3 references) and statement of interest to Kailyn Bradley, PhD: (kailyn.bradley@mssm.edu). Candidates with an early start date (e.g., September 2015) will be given priority.
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Icahn School of Medicine at Mount Sinai Hospital Postdoctoral Fellowship
The Pediatric Mood and Anxiety Disorders Program (P-MAP) under the direction of Vilma Gabbay, M.D., M.S., is a unique program in the greater New York metropolitan area dedicated exclusively to the study and treatment of adolescent mood and anxiety disorders (http://www.mountsinai.org/patient-care/service-areas/psychiatry/areas-of-car...). We are currently seeking a highly motivated Postdoctoral Fellow. She/he will primarily assist in managing our research projects which utilize innovative neuroimaging and immunological methodologies. Additionally, she/he will analyze neuroimaging data, write manuscripts, and assist the PI in grant applications. We are looking for a fellow with experience analyzing fMRI data or H MRS data.
Candidates must have (or nearing completion of) a PhD in neuroscience, psychology, cognitive science, radiology, or related field. Experience analyzing functional magnetic resonance data or H MRS data is required. We prefer candidates with strong programming and scripting skills (unix, python, matlab, etc.).
This position takes direction from the PI, Vilma Gabbay. If interested, please email a CV and statement of interest to Kailyn Bradley, PhD: kailyn.bradley@mssm.edu.