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Field
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-saving research on vaccines and infectious diseases. The Tran Lab is seeking a motivated Postdoctoral Fellow. Primary Duties Develop human endothelial cell models for studying IgG recycling, catabolism
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utilization as a druggable pathway in fungal pathogens and the development of antifungal potentiators. Projects will involve a combination of fungal genetics, molecular biology, chemical biology, metabolism
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
mouse models, as well as complementary in vitro biochemical and molecular assays. The position requires the design, execution, and interpretation of complex experiments involving molecular biology
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), ideally geometric/graph neural networks, equivariant models, or generative models. Interest in applying AI to molecular or biological problems; prior structural biology experience is a plus but not required
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Doctoral Degree (PhD) or foreign equivalent in Cancer Biology, Molecular and Cellular Biology, Biochemistry, or a
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The Department of Molecular Biology and Genetics and the Danish Research Institute of Translational Neuroscience (DANDRITE, Nordic-EMBL partnership in molecular medicine) at Aarhus University
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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human brain samples, in vitro human iPSC-derived neural cell models, and transgenic rodents to study the cell/molecular biology and biochemistry of protein aggregates causing dysfunction and selective
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principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with