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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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access to state-of-the-art analytics and a robust cross-functional scientific community. The Opportunity: You will be part of the Genentech post-doctoral training program that provides an outstanding
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hearing care. This role supports a high-impact research program focused on addressing the unmet needs of adults with hearing loss through data-driven policy, service innovation, and community-based
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-funded programme of research, ImPROving GROUP Treatment for People with Severe Obesity (the “PROGROUP” programme). The successful applicant will support the PROGROUP team in delivering and evaluating
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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. These include, but are not limited to: Gain experience in performing physical experiments and using laser powder bed fusion machines to produce materials Participate in the utilization of a variety of microscopes
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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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Scope of Job The Puentes Postdoctoral Fellow is a three (3) year grant-funded position under the U.S. Department of Education’s Title V Developing Hispanic Serving Institutions (HSI) program. This is a