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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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Scientist to join the Mathematical Sciences and Computation Algorithms (MSCA) team. We are looking for someone ready to advance in their career in global health research. As a Research Scientist (Payroll
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programme Reference Number AE2025-0605 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0605
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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in the Ph.D. Program in Physics. Applicants must also apply to the Visiting Scholar position in the Center for Computational Quantum Physics (CCQ) posted on the Flatiron Institute’s website at: https
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scheduling algorithms for federated and serverless computing, extending Python-based workflow and Function-as-a-Service (FaaS) frameworks, or building services that enhance the interoperability and performance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, developing professional reports and assist with preparing manuscripts for broader dissemination. Minimum Education and Experience Requirements Masters degree in Computer Science or foreign equivalent, and two
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19 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Agricultural sciences » Forest sciences Computer science » Programming Computer science » Other Environmental science
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Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters