105 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at Aarhus University in Denmark
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foci of the degree programmes, the successful applicant will be expected to teach in both Danish and English. The successful applicant must complete Aarhus University’s teacher-training programme for
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Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver
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an advanced PhD program. Our PhD students demonstrate high academic potential and deliver impressive results that benefit both the private and public sectors. Through our research and development activities, we
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University’s teacher-training programme for assistant professors designed for university teaching. Knowledge exchange The successful applicant will be expected to engage in knowledge exchange, for instance
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submitted (optional) Research plan can be uploaded (optional) Coauthor statement(s) can be uploaded (optional) References/recommendations can be uploaded separately in the e-recruitment system (optional) We
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Natural Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Natural Sciences Tenure Track Programme. Highly qualified
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in addressing complex organizational and societal challenges. The successful applicants will be expected to teach and supervise students across all levels. Our study programme portfolio includes an MSc
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education within the department’s scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer
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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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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing