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schizophrenia. Preference will be given to applicants who have received their Ph.D. degrees in computational neuroscience, physics, mathematics, computer science, or related fields within the last 3 years and
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MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A background in clinical research in vascular or general surgery, or with residency
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling ‘omics
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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: 2023509 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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-NWK Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to