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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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, with publications in high-impact journals. Excellent writing and communication skills in English аrе key assets. Expertise in bio- and/or photoelectrochemical sensor development is a plus. What we offer
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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Devriendt, head of the research group on structural integrity monitoring for offshore structures and Dr. Francisco de Nolasco, postdoctoral researcher working on ML algorithms for lifetime estimation. We
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/nanofabrication, material science, sensor development, basic biochemistry, and electronics to generate a truly interdisciplinary doctoral research scientist. Α pleasant work climate to do cutting-edge science in a
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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University. CMST focuses on smart microsystems design, fabrication, and integration and more specifically: i) for health applications ii) conformable, soft sensors for wearables and textile integrated sensor
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will research strategies on including physics and enhance active learning as well as aim at reducing catastrophic forgetting. You will research how to uncover uncertainties that are hidden to sensors and
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monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim
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for variable rate fertilization including N synthetic fertilizers, manure and bio-based fertilizers. They will utilize advanced multi-sensor platforms (utilizing spectroscopy and electrochemical sensing