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, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good
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global inequalities and North–South relations We are especially interested in candidates who adopt analytically rigorous and theoretically informed approaches, and who can contribute to ongoing debates
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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rare diseases. Experience with molecular biology is highly desirable. The ideal candidate demonstrates: A critical and analytical scientific mindset Attention to detail and a structured approach to data
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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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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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, 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