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Field
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microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative team player with good communication skills, who is
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sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees. Because we expect you
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respondents of panel surveys participate in online interactions. These experiments will be designed to make maximal use of the large heterogeneity of survey respondents, the rich data already available in
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challenge. This project will explore how reconfigurable computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and others. The research will focus
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relevant innovation. Information Protein tumor markers (TMs) in blood offer a promising, minimally invasive approach to support clinical decision-making in lung cancer. However, their broad clinical
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. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
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Funds and aims to accelerate the transition to animal-free biomedical innovations. Together with a large number of national and international partners, Ombion will work on the development and
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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degree in Computer Science, Artificial Intelligence, Data Science, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong
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analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will contribute to other activities of the STXBP1 team