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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others, and make a
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. Applicants able to teach any of the aforementioned topics are encouraged to apply. Our faculty work together to provide the courses the students need. We expect deep expertise in each faculty member’s
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unique Evidence Synthesis Program with deep faculty-librarian collaborations across the university. The Postdoctoral Associate in Meta-Research will work across these departments and units to develop a
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
) Collaborative Context and Expertise Since 2018, EDF has been studying the construction of meta-models based on deep neural networks (i.e., deep learning). Initially, based on fluid simulations using Code_Saturne
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search strategies for online databases such as PubMed. Experience with systematic reviews and meta-analyses is desirable. Demonstrable skills in MS Office applications (Word, Excel, PowerPoint), together
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Professor, to begin Fall 2027. Candidates will be expected to conduct innovative and impactful research and to teach at both graduate and undergraduate levels. Our tenure-track and tenured faculty normally
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/deep learning are preferred. Key Responsibilities: Strong candidates should take the lead of at least one of the following responsibilities: Soil organic carbon model development and optimization