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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
22 Jan 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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Cornell University, Electrical and Computer Engineering Position ID: Cornell-ECE-POSTDOC [#31375] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
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) Experience in functional assessment of patients with lung cancer; b) Experience in entering information into computer systems, organising, maintaining and controlling databases; c) Experience in supervised
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28 Jan 2026 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 4 days ago
months, with an estimated start date of April 1, 2026. The fellowship contract may be renewed for an equal or different period until the project ends, provided the eligibility requirements for its granting
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UiO/Anders Lien 15th March 2026 Languages English English English Join the University of Oslo's vibrant team as a PhD Research Fellow in AI methods for innovative robotics! PhD Research Fellow in AI
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reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work
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advertisement About the position Position as PhD Research Fellow in Interaction Design / Human-Computer Interaction available at the Department of Informatics, University of Oslo. The fellowship period is three
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over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to get uncertainty estimates for parameters governing