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will likely have the following skills and experience: A PhD or master’s degree (or commensurate qualification/research experience) in Computer Science, Data Science, Forensic Science, Electrical
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Nobel Prize in Chemistry for computational protein design. Today, the IPD comprises over 260 members and contains four faculty labs (Baker, Bhardwaj, DiMaio, King), specialized core research teams
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic
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(https://bioe.uw.edu/academic-programs/undergraduate/undergraduate-degree-requirements/), master’s (https://bioe.uw.edu/academic-programs/masters/), and Ph.D.(https://bioe.uw.edu/academic-programs/phd
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
is focused on the interface between human senses and perception of food and contribute to designing healthy and sustainable food and beverage applications with high consumer acceptance. The position is
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-augmented AI tools Interfacing AI tools with experimental facilities at CNM and Argonne Key Responsibilities Research leadership (50%) Develop and lead an independent and collaborative research program in
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for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly