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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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the humanities, social sciences, and law with the aim of establishing what more just, decolonial futures could look like and how (competing) claims for reparative justice could be addressed to make these futures
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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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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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affinity with bio-informatics and genomics; an existing professional network relevant to this project; good organisational skills; good (written and spoken) communication skills in English; the ability and
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advanced molecular biology and 'omics' techniques. The goal is to enhance dietary health benefits, particularly through precision nutrition, by investigating individual metabolic differences. The group
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advanced molecular biology and 'omics' techniques. The goal is to enhance dietary health benefits, particularly through precision nutrition, by investigating individual metabolic differences. The group
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Ageing and Neurodegeneration. Are you a highly driven, motivated and curious person loving interdisciplinary Science? Do you have an MSc degree in Physics, Chemistry or Molecular Life Sciences with focus
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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