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quantitative methods at the interface of statistical learning, experimental design, and optimization to address challenges created by the operationalization of AI within partner organizations. The Postdoctoral
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fluid dynamics. The successful candidate will be expected to work on all or a subset of the above topics, be proficient in working with large data-sets (observational or numerical), machine learning, and
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis
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demonstrate scientific innovation and potential for long-term impact in environmental and comparative physiology. A strong commitment to mentoring students and postdoctoral researchers in a collaborative and
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University of California, San Francisco | San Francisco, California | United States | about 22 hours ago
within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $72,000 - $154,600 (Annual Rate). To learn more about the benefits
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Title: Postdoctoral Researcher Department
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. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/21854229/x5b-eoi-x5d-postdoctoral-associate-in-mathematics-x7c-professor-nina-holden Return to Search
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disease. More information about the lab can be found at https://dezfulianlab.com Current Opening: Type 1 Diabetes - Focused Postdoctoral Position For this position, the primary focus will be on human Type
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 21 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and