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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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research and publish in high quality conferences and journals Independent thinker and self-responsibility Ability and desire to collaborate and work in teams Ability and desire to support teaching and to co
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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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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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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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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
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. Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7455 Job description In times of ubiquitous blended education, students need to be engaged
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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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for the implementation of real-time system operations and develop an appropriate system architecture for TSO and DSO. Real-time system operations uses available network capacity more efficiently than is possible in
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. In the UAI group, we develop tools and algorithms for efficient calculations and inference in IP contexts. Our group consists of a unique mix of experts and is therefore very well placed to perform