93 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Nature Careers in United States
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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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inquiry, and an ability to link fundamental science to real-world applications. The ideal candidate will also have: a PhD degree in immunology, nanotechnology, biotechnology, biomedical/chemical engineering
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, molecular biology and biochemistry, immunofluorescence, super-resolution microscopy, calcium imaging, and surgical procedures. Performs other duties as assigned. Qualifications PhD or MD in Physiology or a
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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
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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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. The open position focuses on the study of integrin-mediated activation of TGF-beta in the gut mucosa and intestinal epithelial cell biology, particularly in the context of IBD pathogenesis. The laboratory
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/ Candidates should have a PhD or equivalent with a strong background in HIV virology, molecular virology, immunology, and molecular/cellular biology. Experience with inflammasomes, molecular screening
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive