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, background in black-box optimization and machine learning are a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7606-CARDOE-006/Default.aspx Work Location(s) Number of offers
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United Arab Emirates Application Deadline 15 Mar 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent Systems, Cybersecurity and Health Technology. The Faculty of Technology is the newest faculty
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neuroinflammatory conditions, such as MOGAD, NMOSD, MS and narcolepsy and monitoring the impact of treatments and identify risk factors affecting disease onset and progression. We will benefit from our national
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developing and applying advanced statistical models, machine learning, and deep learning approaches. As such, we seek applicants with strong quantitative backgrounds in remote sensing and time series analysis
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Christopher W Clark Postdoctoral Associate: Ecosystem-Scale Biodiversity Conservation in the Tropics
. machine learning, ecological modeling), to assess biodiversity – including insects, amphibians, birds, mammals, and bats – and provide critical ecological insights that will support efforts in determining
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conditions. In addition, there is a close collaboration with the EcoVision Lab of the Department of Mathematical Modeling and Machine Learning at the University of Zurich, which will facilitate the transfer
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/machine learning methods applied to medical imaging Excellent knowledge of English, both verbal and written, is required to present and publish research results. Research expertise. Preferred qualifications
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is considered as the core requirement. Demonstrated knowledge and experience in utilizing register data and computational methods (e.g. machine learning, natural language processing) in research being
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to identify FDA approved drugs that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning