153 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"FEMTO-ST-Institute" positions in Denmark
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more than 200 affiliated laboratories in Denmark. The programme also includes active participation from neuroscience groups based at the university hospitals around Denmark as well as the Technical University
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scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
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years (5+3 program) or 4 years (4+4 program). The proposed starting time is Fall 2026, with some room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study
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level at least equivalent to those obtained through the satisfactory completion of a PhD programme within the relevant field. Application deadline 30 October 2026 at 23:59 [CEST].
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Sciences at Aarhus University. The department houses several of the Danish National Research Foundation’s Centers of Excellence and teaches many of the faculty's degree programs. Comprising a wide range of
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science, energy engineering or a closely related field. Solid background in thermodynamics, transport phenomena, and process modelling and computer programming with documented experience in developing and applying
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. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development
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paired with several years of work experience in a relevant position Strong programming skills with an object-oriented language Demonstrated experience in automating data (processing) workflows Proven
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Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. At the Niels
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme