96 parallel-processing-bioinformatics research jobs at Technical University of Denmark in Denmark
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Job Description Do you want to contribute to the development of new solutions for prevention and treatment of food allergy? If you have knowledge within the area of immunology and bioinformatics as
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on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. However, powerful as it is, MagTense is at present limited in its
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process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
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development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with mammalian cell culture techniques, ideally including
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initiatives towards the development of new environmentally friendly products, cleaner and more sustainable manufacturing and farming processes, new medical treatments, and richer biodiversity and ecosystems. In
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and Mechanical Engineering (DTU Construct). In this role, you are advancing innovation by integrating material science, advanced processing techniques, and modelling to gain a comprehensive
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and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc. In other words, we try to solve some of the biggest challenges in the history of mankind, and
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of catalysts and processes for upgrading biomass fast pyrolysis oil to a higher quality fuel that can be used for e.g. ships and ultimately for aviation and land transport. The project is conducted in close
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research aimed at enhancing the efficiency and performance of PRO systems for sustainable energy solutions. PRO process is dealing with harvesting clean energy from the salinity gradient between different
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the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products