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Field
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Veteran Program and the Psychiatric Genomics Consortium, as well as other large biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in
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-based experiments, culture assays and molecular work, multi-omics techniques, and establishing bioinformatic pipelines for data analysis. The ideal candidate will demonstrate the ability to integrate
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hold a PhD in machine learning, computer science, bioinformatics or equivalent. You combine strong analytical skills with the ability to work independently and lead collaborative efforts. You are a team
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able to work independently, and enjoy collaboration in an international team. Your experience and profile: A PhD degree in phytoplankton ecology, environmental microbiology, biological oceanography or a
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guidance to PhD students and junior researchers. Candidate profile: The ideal candidate enjoys tackling challenging biological questions, thinks creatively about experimental design, and is eager to develop
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), immunological techniques, and bioinformatic approaches. Conducting studies using animal mouse models and mechanistic investigations in cell culture Developing an independent subproject in a framework of
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Department Specific Qualifications Education: PhD in Molecular and Cell Biology or related field Certification and Licensing: N/A Experience: Direct laboratory experience (4+ years) is required. Experience
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PhD in biology, cognitive sciences, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing
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able to work independently, and enjoy collaboration in an international team. Your experience and profile: A PhD degree in phytoplankton ecology, environmental microbiology, biological oceanography or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Tenured-Tenure Track / 8 Joint Tenure-Track Faculty, 19 Fixed Term / 4 Joint Fixed Term Faculty, 119 Adjuncts, 33 EHRA Non-Faculty, 21 Postdocs, 22 SHRA, 29 Temps, and 226 Students (146 PhD Students, 69