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, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are
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engineering. This unique position combines cutting-edge computational modeling with hands-on laboratory experimentation to design and validate novel proteins using state-of-the-art protein language models. Key
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Apply now Job no:535571 Work type:Faculty - Tenure Track Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Instruction, Chemistry, Human Physiology, Computer and
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women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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computational models, algorithms, or theory to probe the mechanisms of learning and memory. Ideal candidates will work across levels—from molecules and synapses to circuits and systems—and contribute
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 24 hours ago
scientists, and research trainees in computer science and health disciplines with interests in the pathobiology of human health, including diseases (e.g., cancer and rare genetic diseases), infection, healthy
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Machine Learning Scientist to join the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including
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on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control