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, geometry, dynamical systems, optimization, topological data analysis, harmonic analysis, statistics, or mathematical aspects of machine learning are encouraged to apply. The position is particularly suitable
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programme Reference Number AE2026-0219 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0219
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programme Reference Number AE2026-0217 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0217
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the Norwegian educational system Must have documented solid mathematical foundations on optimization (e.g., optimization modelling and numerical optimization), game theory, AI/ML (A focus on explainable AI e.g
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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at Cambridge University and in Germany and the US, we will work from the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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, mathematical modeling, optimization, and scientific computing. Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable. Excellent
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its