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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic
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Research Scientist leads innovative research initiatives in geospatial science, remote sensing, and GeoAI, applying advanced analytics, machine learning, and image processing techniques to address complex
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You'll Bring Required Qualifications PhD or equivalent doctoral degree (ScD, MD, DVM, or related terminal degree). Strong background in one or more of the following: Computer Vision Machine Learning
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 3 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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, the design of public policy around AI use, or the application of machine learning to data analysis. This position requires a PhD in hand or firmly expected by August 2027. Candidates are expected to be active
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of complex molecules and reactions. Must have PhD in Physical/Theoretical Chemistry or Artificial Intelligence/Machine Learning or related fields. This position will be initially awarded for one year, and
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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initiatives. OR Doctoral degree in a quantitative discipline with demonstrated expertise in statistical modeling, machine learning, data science, research methodology, or related analytical fields. Required