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to an international research environment where English is the preferred language in the laboratory, at meetings and at seminars. We offer a challenging and independent job opportunity in an ambitious and inspiring
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to model large-scale changes preferably being able to use ML An ability to work in large consortia projects but also individually and in small teams, and be self-motivating. Fluency in English (speaking and
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hold a PhD in physics, but other fields within the natural sciences may be considered for applicants with a strong profile on the points listed below. Experience with experiments based on femtosecond
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of microorganisms in natural, technical and clinical systems and in biotechnology. The section has well-developed shared laboratory facilities and a permanent support staff of seven highly skilled laboratory
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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on aspects of fracture processes, stochastic material behavior, and the development of physics-based models that can bridge the gap between continuum mechanics descriptions and disorder-driven statistical
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a demonstrated capability to successfully disseminate your research in peer-reviewed scientific journals as first author. You must have experience with signal processing of acoustic or high-resolution
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at undergraduate and graduate level You must be fluent in speaking and writing of scientific English. Who we are/ The department The Department of Chemistry at Aarhus University (www.chem.au.dk) is one
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(mmh@bio.au.dk). Application The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information
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candidate who: Holds an educational background in natural sciences or a related field. Has experience with literature research (e.g. Web of Science) and report preparation. Shows a commitment to learning