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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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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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motivation in research and your long-term goals? (4) Which of your research works do you think best represents you as a suitable candidate, and why? This could be, for example, a publication or part of your
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. Evaluates machine learning training using tools such as precision-recall metrics, receiver-operating characteristics curves, and confusion matrices. Trains and evaluates neural networks for computer vision
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position for 36 months Project Focus The candidate will conduct research that advances our understanding of segregation within schools—how it shapes the way people think about groups within their schools and
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the way people think about groups within their schools and how it influences the spread of attitudes and behaviors within and between groups. The postdoc will join a collaborative research team led by Dr
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(MEMLANG): How we store and retrieve linguistic information , led by Jakub Dotlacil, at the Institute for Language Sciences (ILS), Utrecht University. Together with an interdisciplinary team, you will
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. Candidates with previous experience in exoplanet atmospheric characterization, high- or low-resolution spectroscopy, atmospheric retrieval techniques, and/or JWST data analysis are especially encouraged
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The research project “ AMALTHEA:enAbling a Model driven deep understAnding of the roLe of gender Towards a Holistic solution against Extremism and radicalisation Activities” is funded by
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
response to therapies, with applications in brain tumours and neuro-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical