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technology applications. Investigate ethical, legal, and social implications of health data collection and usage. Collaborate with project partners to develop and evaluate digital applications in field labs
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Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7545 Job description We are seeking an enthusiastic PhD candidate to develop novel ideas to establish trust in deep learning
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our team to image the behavior of ice-interactive biomaterials on ice with single-molecule resolution. The goal of your project is to develop and use state-of-the-art microscopy tools and quantitative
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Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department. If you are eager to work with a multi-disciplinary team focusing on AI-driven
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that are inclusive and accessible to users with dynamic and unique needs; Develop tangible design artifacts for the specific use cases and evaluate the impact in real-life scenarios; Facilitate transdisciplinary
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for many countries in the last years. Hydrogen is expected to play a crucial role in achieving this target. The PhD will focus on the domestic and global green hydrogen supply chains and develop optimization
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Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department. If you are eager to work with a multi-disciplinary team focusing on AI-driven
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Are you eager to work on making the world a better place? With these 3 PhD positions we aim to develop the new types of slags from fossil-free steelmaking into cementitious binders, replacing non
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our knowledge in collaboration with other scientists at TU/e and more recently within the newly formed Eindhoven Hendrik Casimir Institute (EHCI) to develop the required solution for many
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within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10