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2-year Postdoctoral Research Fellow position with focus on Cryptography at Computer Science Aarhu...
Department of Computer Science at Aarhus University (Denmark) invites applications for a 2-year Postdoctoral Research Fellow position with focus on Cryptography. The position is funded by
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part of a team, be happy to share thoughts and receive feedback from other team members, and be able to carry out parallel tasks In addition, it is preferable that you: Have experience with processing
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2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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meet security, compliance, and integration requirements. You will collaborate with various professionals and act as the link between technical teams, clinical teams, and project management. In parallel
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. Integrating new pumping systems and verification of aseptic bubble-free long-term perfusion. Characterizing oxygen and metabolite distribution by advanced microscopy. Performing month-long culture of stem cell
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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exposed to the biotech start-up community in the greater Copenhagen area. In parallel as part of PLEN, the Post Doc fellow will be interacting leading scientist within the fields of plant science and
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equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have regular activities in Greenland. Learn more on aqua.dtu.dk Technology for people DTU develops
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a