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algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine learning is also desiered. TU Delft (Delft University
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: questionnaires on healthcare and patient outcomes, qualitative data on patient experiences, improved diagnostics using innovative laboratory methods, development of pathophysiology-based treatment plans
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. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding development within the bioprinting domain. This position is part of a larger, EU-funded Horizon Europe
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such as Neuro-AI, AI for Medicine, AI for Biodiversity, Systems Biology, and Algorithms. Develop strong links with partners across the Faculty of Science and Engineering — including Advanced Computing
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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, infrastructure, technology evolution and Engineering R&T and innovation. Moreover, it provides expert support in these areas to the Directorate of Operations for all current and potential missions and leads, in
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from multispectral datasets You will contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from multispectral datasets. This project combines deep