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January 2020 to December 2029. The programme has the aim of achieving breakthrough research in at the intersection of ethics, philosophy, technology/engineering and social sciences, and to position its
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, with a PhD in Computer or Electrical Engineering or any other relevant program from a leading university Affinity with modelling techniques and algorithms. System-level thinking capabilities. Hands
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specialize in MEMS, electronic materials, flexible electronics, biomimetics, sensor technology, and biomedical sensors. Together, we aim to drive innovation and advance the frontiers of sensor technology. This
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partners. Strong applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr
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engineering education. Work experience with an experimental background in flexible sensors and soft actuators, flexible and printed electronics (candidates with a background only in computations and simulations
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close to the completion of) a Master's degree in Human-Computer Interaction, Experimental psychology, Cognitive Science, Data Science or related discipline with demonstrable interest and/or experience in AI
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part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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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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One fully funded 5-year PhD-TA position (75% research, 25% teaching) is available in the Data Mining group, at the department of Mathematics and Computer Science, TU Eindhoven, the Netherlands
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of Economics and Business Economics of the Nijmegen School of Management (NSM) is seeking candidates for a 4-year PhD candidate or 2-year postdoctoral researcher position (with possible extension