528 algorithm-"Multiple"-"Prof"-"U.S"-"Simons-Foundation" "University of Wisconsin Madison" Fellowship positions
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collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM
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The Co-Centre for Sustainable Food Systems brings together academics from multiple disciplines, including the natural sciences, trade, economics, politics, political economy and law. We are seeking
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
therapeutics. Position Overview: We are seeking multiple highly motivated Postdoctoral Research Fellow with expertise in systems pharmacology, machine learning, and/or data science to join our interdisciplinary
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people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave, 11 public holidays
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groundbreaking primary dataset comprising multiple linked surveys as part of the Observatory’s longitudinal cohort studies, and through the analysis of administrative datasets (e.g. the National Pupil Database
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an autonomous, mobile gas flux tower, consisting of a helium-filled aerodynamic kite tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions
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Information This position is for multiple hires. The appointments will be for one year and possible renewal up to five years. The primary work location for this role will be onsite at the University of Michigan
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project