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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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in a team Experience of working with high-performance computing
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that transform earth—currently disposed of in landfills at high environmental and economic cost—into high-performing and aesthetically pleasing structures. These innovative structures are characterized by a
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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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
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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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generally require near-unity efficiency and a high single-photon purity as well as indistinguishable photon emission. You will participate in a project team with several senior researchers and Ph.D. students
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer