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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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multiple brain areas in an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants
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beyond their immediate communities, and how they can build the infrastructures needed for large-scale engagement. Your insights will support ECCO’s societal partners in strengthening mobilisation
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us to better understand the large-scale impacts of these changes for global water supply. A personalised training programme will be set up, reflecting your training needs and career objectives. About
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht
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23 Jan 2026 Job Information Organisation/Company DIFFER Research Field Chemistry » Computational chemistry Chemistry » Physical chemistry Engineering » Chemical engineering Researcher Profile First
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10 Jan 2026 Job Information Organisation/Company NIOZ Royal Netherlands Institute for Sea Research Research Field Biological sciences » Other Environmental science » Earth science Environmental
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, sociology, health psychology) who demonstrates a large set of the following qualities: Strong quantitative skills with enthusiasm for real-world data and modern analytic methods; proficient in R. Meticulous
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workflows. Familiarity with Linux/HPC environments (for the modeling position). Experience with data visualization or handling large datasets. Demonstrated interest in climate physics and/or cross