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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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replacement therapy. Current replacement therapies have severe shortcomings. Kidney transplantation is not available for 25% of the patients, while eligible patients wait years for donor kidneys, and recipients
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at the intersection of military readiness and corporate operations. Defence capability development in Europe and European defence industry. Conduct independent empirically driven and comparative case-study focused
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Description In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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engineering Engineering » Systems engineering Ethics in social sciences Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 26 Jan 2026 - 22:59 (UTC) Type of Contract
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within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence (AI) or closely related topics in
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science