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metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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or another relevant field; the ability and enthusiasm to learn and apply quantitative and qualitative methods within HTA; an interest in cross-disciplinary work within HTA; good oral and written communication
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& Economic Research (WSER), part of Wageningen University & Research, one of Europe's leading institutes for applied socioeconomic research in agriculture and food systems. In this role, you will acquire and
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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develop the transformational capabilities of students, graduates and business leaders via our educational activities and opportunities for lifelong learning. Complex challenges call for joint action, and
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numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports
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multidisciplinary field, and openness to learning new things. The PhD candidate needs to be proficient in spoken and written English and has a Master’s degree. We are offering a modern research environment and
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of at least one other language required for archival research and analysis related to your chosen historical case. Willingness to acquire skills in additional languages relevant to the project will be