54 high-performance-computing positions at Technical University of Denmark in Denmark
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assays. Publish results in high-impact journals and present findings at scientific conferences. Engage in interdisciplinary training to build expertise in both computational and experimental approaches
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GitHub, and working with high-performance computing clusters will be viewed positively. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university
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catalysts and processes that enables computational design rules for new catalysts, and it extends to synthesis, characterization, and testing of high-surface-area catalytic materials under realistic operating
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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, sequencing, cell cultivation). Plan, perform, and analyse yeast and immunological experiments independently, driving the project forward (e.g., cellular assays, immunoassays, flow cytometry, cell sorting
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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candidates using high-throughput bacterial systems and cell-free protein synthesis. Perform structural and biophysical characterization of designed proteins (e.g., CD, SPR, BLI). Perform validation
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Responsibilities Perform metabolic modelling to simulate strain behavior and propose engineering strategies. Design biological parts for both low- and high-throughput strain construction. Analyze internal and public