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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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(BCW) Experimental Psychopathology and Treatment (EPT) Learning, Education, and Development (LED) Work, Health and Performance (WHP) In this document , you will find specific information about the four
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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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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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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PostDoc who will do research on the intersection of machine learning (ML) and statistics
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of large lifespan cohorts. Independence is key, the post holder is expected to take the lead in developing analytic questions, testing and comparing developmental models, and prepare reports for journal
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on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
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, with particular focus on their potential impact on qualification status and operational continuity; contributing to the team’s analytical simulation capabilities through the development, evolution and
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of the European launcher sector would be an asset. Project management know-how would also be an asset. Demonstrated capability to interact with industry is an important requirement. Strong analytical skills
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looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? Strong analytical and interdisciplinary mindset – You enjoy bridging medical statistics and