80 web-programmer-developer Postdoctoral positions at Nature Careers in United States
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other chronic diseases. Under funding from the National Institute of Health, we are developing immunotherapies targeting cancer, cardiovascular and other chronic diseases using plant viruses as
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal, condition-dependent
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collaborators. Access to state-of-the-art experimental laboratories and AI-driven robotics infrastructure. Opportunities to build computational and/or experimental skills. Freedom to develop independent research
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genetics, or bioinformatics. Our research focuses on modeling human brain development and function in cell culture to systematically investigate the genetic, cellular, and molecular basis of complex
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: (depending on previous eligible experience) at least: € 4.932,90 (payable 14 times per year) Responsibilities Scientific research in bioinformatics, genomics, and evolution of crop plants and their wild
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As a fellow you will join our faculty in the Department of Biostatistics, providing statistical support and developing innovative biostatistical methods for research projects at the cutting edge
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research at the broad intersection of cancer biology and immunology, which will help build a strong portfolio for their future career development. The fellow will work closely with local experimental and/or
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highly competitive salaries (typically 20-25% above NIH guidelines) in a low-cost-of-living city, along with comprehensive benefits and robust support for professional development. For more information on
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET