1,317 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers
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regulation. We are also actively studying the role of non-canonical translation events in antiviral immunity. The Subramaniam lab is part of the Basic Sciences Division and the Computational Biology Program at
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seeking an outstanding Chair for the Department of Physiology & Biomedical Engineering. The Chair provides overall strategic direction for the growth and development of the department across all three Mayo
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Position 2
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biology and disease, immunology or cancer biology). -Other duties as assigned. Minimum Qualifications: Ph.D., DVM, VMD, MD or equivalent in a biomedical sciences discipline is required. Preferred
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Molecular Mechanisms and Translational Cancer Research A postdoctoral fellow position is available in the Brugarolas lab (https://brugarolaslab.com/research-summary/ ) Research in the lab spans
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methods/tools, experience with clinical informatics pipelines, and a commitment to safe, reproducible, clinic-ready AI. Experience building LLM-driven, agentic systems for automated analysis or experiment
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the position is filled. EOE / Minorities / Females / Protected Veterans / Disabled Qualifications Candidates should hold a PhD degree (or equivalent) in Physics, Applied Physics, Astronomy, Engineering, or a
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compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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, Topology, Financial Mathematics, Financial Engineering and their related interdisciplinary subjects. Physical Sciences: AI for Science; Optoelectronic Materials, Biomaterials, Meta Materials, Information