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Field
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, implement, and analyze assessments of student learning, affect, and experiences. - Disseminate research outcomes through peer-reviewed publications, conferences, and seminars. - Pursue extramural funding
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
on global climatic changes. In particular, the project aims to assess the role of convection in the vertical exchange of climate-relevant tracers such as carbon and heat between the surface and deep
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Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in
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field Demonstrated expertise in one or more of the following areas: Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling Human neuroimaging analysis, including
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, machine learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Experience Strong background in machine learning, deep learning, or related AI techniques. Proficiency in Python and at least one major deep learning framework (e.g., PyTorch, TensorFlow). Evidence of research
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ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in
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Letter Reference requirements 3-6 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF05454 Help contact: [email protected] About UC Berkeley UC Berkeley is committed
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data