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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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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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psychology research; Motivation to collaborate with researchers and clinical psychologists, with the ability to work independently and accurately; Dutch B1 proficiency, or a commitment to learn in the first
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the significance of these developments? How do they prioritize ever-scarce resources and avoid strategic overstretch amid profound geopolitical change? What you will do In order to strengthen its capacity to teach
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expected to make efforts to acquire second- and third-stream income. As an Assistant Professor you are also expected to contribute to management of the department. We value a relevant and inspiring role in
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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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programming languages; Ability to learn independently and passion for research. What do we offer you? You will be employed by NLR as a PhD candidate at NLR Amsterdam. NLR offers you a 4-year research contract
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acceptance of Vega C/E elements under the relevant domain, ensuring compliance of the mission specific configurations with the applicable qualified product perimeter; performing and/or supervising mechanical
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. An inter- or multidisciplinary background and good communication skills are therefore important assets. Your duties you publish research results in international peer-reviewed journals you teach for 0.1 FTE
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within the field of machine learning, search, and reasoning techniques. Demonstrable knowledge and/or experience in algorithms and programming is a must; Is able to translate and convert this knowledge