82 software-engineering-model-driven-engineering-phd-position Fellowship positions at Nature Careers
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).* Relevant PhD in Humanities, Social Sciences, Natural Sciences, Health Sciences, or Engineering by the call deadline (date of PhD defence/viva) Have a maximum of 8 years full-time equivalent research
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about the Systems Chemical Biology of Infection and Resistance Lab About you Essential: (Minimum criteria*) PhD (or near completion) in biological engineering, chemistry, chemical biology, molecular
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A postdoctoral fellow position is available in Haiming Cao’s laboratory in the Cardiovascular Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH. The Cao lab integrates artificial
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further funding, opportunities to attract PhD students through PhD programs, and additional funding support beyond the end of the fellowship. Fellows will be assessed for a permanent position within the
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based, multiple instance learning, large language, and fusion modeling. A grounding in cancer biology or immunology. Collaborative, self-directed, and intellectually curious. Modes of Work Positions that
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. This post-doctoral position is available to start at any time. The focus of the research will be to study the mechanisms of metastasis and dormancy in uveal melanoma. We have generated a novel mouse model
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Qualifications: Experience with medical imaging (for Position 1) Experience with longitudinal EHR modeling (for Position 2) Experience with spatial omics or multi-omics integration (for Position 3) Prior work with
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expression, cell state-specific regulatory programs, and clinical outcomes. Related projects will include: Develop and apply statistical or machine learning approaches to model the effects of common and rare
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motivated postdoctoral fellow. We study how metabolism and metabolic enzymes in endothelial cells contribute to health and disease by leveraging genetically engineered mouse models, in vitro cell culture with
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Research Fellow with a strong background in optical glass science and fabrication to join the EPSRC-funded PURE collaboration between the University of Southampton and the California Institute of Technology