83 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Aarhus University
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). Job description/research project/research area Research You are expected to take a leading role in the research program, supported by a Villum Investigator Grant, in which femtosecond and picosecond
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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and potentially involves company collaboration. Candidates are expected to teach and supervise students at all levels including PhD students. Our study programme portfolio contains a MSc program and a
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junior researcher development programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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ability to complete the project within the framework of the PhD programme You can read more about the assessment procedure and committees appointed by the dean here . Please note that for applications
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counselling to expat partners. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted
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(Technology Based Business Development) programme, which includes a specialisation track in energy. Teaching in our other study programmes, such as the two Bachelor of Engineering programmes in
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be