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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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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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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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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
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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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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within
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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
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delivers research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties. We collaborate closely with hospitals in the North Denmark
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collected from multiple habitats and land use types at a national scale. The main focus of your position will be to explore the relation between microbial communities and established/novel soil health
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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