45 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at Nature Careers in United States
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, biochemical, cell, and tissue biology method skills. Experience in using computational analysis (biostatistics, machine learning, data science, physics, or a related field). We value diversity and strongly
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal behavior and neuronal activities in circuits of murine models of 22q11.2 and
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative
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, including CAR-T cell therapies. Qualifications: Applicants must hold an MD, PhD, or MD-PhD. A strong background in immunology, neuroscience, and/or cancer biology is essential. Prior experience with iPSCs
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. St. Jude trainees are able to learn from clinical and basic science investigators who work in close proximity and interact regularly to translate scientific discoveries into improved therapies
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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. Collaborate effectively : we work with experts at St Jude and abroad to pursue impactful interdisciplinary projects that expand and enrich the perspective and environment for trainees. Learn to lead : pursue
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or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket as well as discounts in the campus canteen On-campus health and fitness center additional health
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computational (deep-learning AI models) approaches to dissect cell-death signaling, with ultimate goals to identify novel therapeutic targets and approaches. The PI, Dr. Gong has been highly regarded in his