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two crucial research questions: how do materials degrade in solution and solid phase, and what is the (extent of) correlation between these processes? While PhD candidates will design and apply new
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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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. What you bring We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? PhD degree in Artificial Intelligence, Computer Science, Biomedical
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager
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(HIMS), in close collaboration with industrial partner BOR-LYTE and Smart Industry testbeds. This position offers a unique opportunity to combine inorganic chemistry, spectroscopy, machine learning, and
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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onderwijs – tto) schools with a linguistically diverse student population. We will investigate how inequalities can be reduced and learning can be promoted through Functional Multilingual Assessment (FMA): a
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caregiver consultation hours, we support you in every phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs