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degree in Biomedical Sciences, Molecular Biology, Physiology, or a related field. Affinity with stem cell and cardiac biology – You have experience with, or a strong desire to learn, hiPSC culture
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, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will
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curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills and to work together with colleagues and industry partners to work on the development of new
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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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. HERITOUR is a collaboration between Erasmus University Rotterdam, University of Stavanger, Middle East Technical University, University of Aruba, Mid Sweden University, and the University of Granada
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
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this. Implement and test such a framework, in a clinical setting. Help teach explainable AI to bachelor’s students and master's students and/or decision makers. For example, by developing workshops and training
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applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved