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features from real-life examples (2 months secondment at Hoare Lee LLP and TQC Ltd, UK). You will contribute to the development and evaluation of explainability repositories, ensuring they support
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generative AI algorithms and translate them into intuitive explanations. Interest in cyber-physical systems (CPS) and eco-cognition modeling. Good understanding of mathematical optimization techniques
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are seeking a highly motivated PhD student to join a collaborative project focused on developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research
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Molecular Imaging and Radiology (MIRA) of the Faculty of Medicine & Health Sciences, is looking for a full-time (100%)postdoctoral scholarship holder in the field of preclinical radioligand development
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of Medicine & Health Sciences, is looking for a full-time (100%)postdoctoral scholarship holder in the field of preclinical radioligand development for theranostic applications. Position You will conduct
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Closing week between Christmas and New Year Professional development through regular mentorship, training opportunities, and collaborative projects. The planned starting date is 1 January 2026 You will do
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for Biomarker Discovery: Develop and fine-tune machine learning algorithms for biomarker discovery, cancer classification, and exploring omics features. Collaborative Research: Work in a multidisciplinary setting
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
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diseases of the central and peripheral nervous system, with an emphasis on understanding the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human