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for implementing an appropriate energy optimizing control approach for reversible CO2 heat pumps (with and without ejector) to ensure the best performance under the given conditions; (ii) Demonstration
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School invites applications for one
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equipment for DNA analyses, computing and advanced microscopy. The candidate must demonstrate a high degree of experience and original scientific production at highest international level within relevant
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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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to allow high-capacity and high-quality operations and results. In particular, develop and validate a fully automated pipeline, enabling effective monitoring and treatment of methane emission records from
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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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different courses within the German Studies Program and the Comparative Literature Studies Program at the department. The teaching tasks also include supervision of BA, MA, and Ph.D.-students. Academic
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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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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a researcher focused on thermal