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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. These syndromes are associated with a high risk of psychiatric disorders, especially schizophrenia. Preference will be given to applicants who have obtained a PhD in developmental neuroscience, cell biology, or
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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at scientific conferences. Mentor graduate students and contribute to the overall growth of the laboratory. Qualifications: Ph.D. in Biomedical Engineering, Computer Science, Neuroscience, or a related field
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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given to applicants who have received their Ph.D. degrees in behavioral neuroscience or related fields within the last 3 years and have experience in computational neuroscience and data mining using
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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Job Description The Department of Psychiatry at the University of Tennessee Health Science Center is seeking a full-time Postdoctoral Scholar to join the Department of Psychiatry. This position is
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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and in silico techniques. informatics/AI modeling approaches. identifying new therapeutic targets for chronic disease. Key responsibilities include : planning, organizing, performing, and monitoring
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and