538 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Nature Careers in United States
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publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Please also read recent
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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bioinformatics and genomics is not required; we're targeting talented software engineers who want to expand into the fields of bioinformatics and genomics (visit https://learngenomics.dev/ to learn more about
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The Program Manager plans and manages projects and/or programs, resource requirements, training needs, deliverables, and manages the design and testing of projects, inclusive of data management. May
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that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as licensing, partnerships, and spin‑outs. About the role We are seeking a Computational
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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of resistant cell lines) and in vivo experiments using xenograft, syngeneic and genetically engineered mouse models of KRAS-mutant lung cancer. Candidates with prior experience in computational biology will
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Title: Associate or Senior Editor, Nature Communications (Computational Social Science) Location: New York, Jersey City, Philadelphia, Madrid, Shanghai, Pune or Delhi Closing date: January 30th
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The High Meadows Environmental Institute (HMEI) at Princeton University is accepting applications for the 2027-28 HMEI Environmental Fellows Program. This postdoctoral program seeks scholars from
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro