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for an enthusiastic colleague to strengthen our team and complement our research and teaching activities. We conduct empirical studies, build systems, prove theorems, and share our passion and knowledge with the next
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emails from managers to help them out how to prepare for a promotion request “please respond asap”. Getting a coffee and hurry to the meet up with your HR colleagues to share a case of how to effectively
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emails from managers to help them out how to prepare for a promotion request “please respond asap”. Getting a coffee and hurry to the meet up with your HR colleagues to share a case of how to effectively
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systems to more effectively request and synthesize inputs from ordinary people about how various designs are falling short in ethically-significant dimensions. Alternately, philosophers may want to develop
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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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on EMC phenomena and develop novel solutions in the field of EMC for Power Electronics and Artificial Intelligence. Design and implement experiments to validate EMC theories and techniques. Analyse data
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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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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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education and research on three Strategic Areas: Energy, Health, and Smart Mobility. An ambitious university requires dedicated support to our scientists within the fields of Research Data Management (RDM