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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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The candidate based at CWI will have either a computer science or mathematics background, with a strong affinity for energy systems modeling, or an [electrical] engineering background, but with
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to address this key societal challenges. It is also highly interdisciplinary, bringing together expertise ranging from mechanical and electrical engineering, computer science, built environment, to social
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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Job description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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systems, resulting in two functional demonstrators Rigorous performance evaluation under various conditions, including static and dynamic characterization For this project, the PhD candidate will spend 6
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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fixed year-end bonus of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to
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to develop a mechanical contact processing model that can estimate contact information from sensors embedded in soft elastomer. Key Objectives and Challenges of this PhD Position Include: Design contact