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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
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scientific papers Collaborate with neuroradiologists and neurologists in satellite projects Where to apply Website https://jobs.vhir.org/jobs/6646119-postdoctoral-researcher-neuroradiology Requirements
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about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
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information and discussion on potential project ideas related to the research plan required for the application. The postdoctoral researchers will be able to develop their scientific skills and knowledge within
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disordered proteins. Within this postdoctoral project, we aim for a comprehensive conceptual understanding of liquid-liquid phase separation in protein solutions, and related phenomena such as equilibrium
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The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/309541 Posting Contact Information Department Contact Name and Title Courtney Lineman, HR
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candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A