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Field
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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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desirable. Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
the glycome of tumor neoantigens defines and modulates T cell functions in the colorectal cancer context, further exploring how the glycoreprogramming of neoantigens constitutes a novel opportunity to optimize
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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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Number AE2026-0197 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0197.pdf CALL FOR GRANT
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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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to optimize cellular performance. The Fellow will develop an independent research project aligned with the broader goals of the collaboration and will have opportunities to lead publications, make scientific
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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