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Field
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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation and robotics. Consequently, a MUDS student will learn
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We are looking for an enthusiastic PhD student who will undertake original research at Nottingham University Business School. This PhD will contribute to improving the environmental sustainability
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potential applications in catalysis and health-related fields. The group offers an interdisciplinary and dynamic research environment, combining strong expertise in materials chemistry, nanotoxicology, and
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within the university No Academic admission requirements At least eight semesters of study of computer science with completion of a consecutive Master's degree programme comprising at least 240 ECTS
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all our activities. We offer more than 40 study programmes, from oneyear programmes to PhD-programmes within e.g. Health Sciences and Social Care, Informatics, Law and Social Sciences, Logistics, Sport
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and managers adjust the stringency of regulation. Specific responsibilities Conduct original research in health policy regulatory options of doctors’ dual practice Support the implementation
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive