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uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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expertise in data science, with hands-on experience in techniques such as machine learning, reinforcement learning, and simulations, and in handling large-scale, within-person, or real-time datasets; A strong
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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Department of Analytical Chemistry and Chemometrics, where we transform chemical data into valuable insights for industrial sustainability using the newest hybrid AI. Collaborate on exciting projects with
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Foundation of Scientific Research Institutes (NWO-I) - the institute pillar of the NWO - and a large national consortium involving the NWO-I, Radboud University, Delft University of Technology, Maastricht
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traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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up of data from the NWO Veni project. This position also offers opportunities for personal scientific growth by contributing to the advancement of research, providing support and collaborate with PhD