36 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"St" Postdoctoral positions at Nature Careers
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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Institutes of Health with multiple R01 grants. A recent Ph.D. in biochemistry, molecular or cell biology, genetics, immunology, pharmacology or related field is required for the position. Strong expertise in
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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assessments and modelling of food web dynamics and disease screening. This position provides a unique opportunity to contribute to our understanding of how multiple stressors including climate change
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contributes to multiple peer-reviewed publications. Participates in the preparation and submission of grant applications. Develop and propose innovative research ideas, including new methods for data analysis
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molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and multiple microscopy techniques. The hired postdoctoral researcher will receive compensation based
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studies on multiple pilot sites. • Undertake and support laboratory analysis on collected samples inc. nutritional, physiological, molecular, and food quality. • Assist with sustainability assessments inc
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profile in European IP law, ideally located near multiple European courts, including the Court of Justice of the European Union, the General Court, and the Court of Appeal of the Unified Patent Court. Your
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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malignancies, such as Multiple Myeloma and Mantle cell lymphoma. To uncover vulnerabilities within the tumor ecosystem, we combine fundamental and translational approaches, working closely with the University