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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed
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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed
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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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engages in related research projects in the group and C3. Your profile PhD degree in Atmospheric Science, Chemistry, Physics, Nanoscience, Environmental Engineering, Meteorology or similar. Strong interest
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inorganic chemistry, polymer chemistry, physical chemistry, electrochemistry or battery research. You hold a PhD in chemistry / chemical engineering / materials science / physics or a related topic
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
engages in related research projects in the group and C3. Your profile PhD degree in Atmospheric Science, Chemistry, Physics, Nanoscience, Environmental Engineering, Meteorology or similar. Strong interest
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Offer Starting Date 1 Apr 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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oriented focus. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs