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when needed to ensure smooth execution - whether it’s preparing a programme workshop, supporting a large event day, or handling practicalities during community gatherings. You will be part of a team of
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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through both academic and non-academic channels The project is multidisciplinary and in the project you will join a large team of researchers from different universities and disciplines. For this reason it
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of capabilities for future large missions such as NewAthena and LISA. Responsibilities and qualifications The overall focus will be to advance world-class research in astrophysics, focusing on stars and galaxy
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supervision, with generally positive student evaluations. Applicants must submit a teaching portfolio that carefully documents didactic/pedagogic competences, coordination of large courses, and contributions
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real