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related subjects; Have experience on cancer, mouse models, mouse colony handing, molecular mechanisms, FAC analysis, biochemistry; Have a very good experience in cell culture of mammalian cell lines
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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Qualifications Experience working with mouse models, viruses, helminth models and immune cells. Experience with molecular biology techniques (e.g., PCR, cloning, sequencing, CRISPR-Cas). Experience with virology
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Is the Job related to staff position within a Research Infrastructure? No Offer Description CIC energiGUNE is looking for a Postdoctoral Researcher to join the Atomistic & Molecular Modelling
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advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA
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-subject clinical and pathological information with morphological and molecular knowledge of induced pluripotent stem cells (iPSC) of PD(D)/DLB patients to identify molecular profiles and drug targets. We
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as well as RNA processing mechanisms in bone regeneration, and to define molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Research
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facilities. Skills/Qualifications PhD in microbiology, molecular biology, or related field Strong experience in bacteriology and molecular mechanisms of pathogenesis Previous experience with insect models and