66 computational-physics "https:" "https:" "https:" "https:" "Caltech" Postdoctoral positions at Technical University of Denmark in Denmark
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is to develop a new curvilinear slicing software and control software and integrate them with a numerical model to build a digital twin of the robotic printing process. Your primary responsibilities
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combines hands-on nanofabrication, device design and characterization, process development, and strategic research expansion through external funding. The candidate is expected to contribute scientifically
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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stakeholders We are looking for candidates with: A PhD in electrical engineering, biomedical engineering, physics, or a related field Strong programming skills in LabVIEW, C++, and Python, with
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computational protein designs into validated therapeutic candidates. Your responsibilities will include: De novo design of minibinders Recombinant expression and purification of AI-designed minibinders (miBds
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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DTU Physics and DTU Construct. Our group is a global leader in the field of metals. We invented the synchrotron-based imaging technique Dark-Field X-ray Microscopy (DFXM) and previously 3D X-ray
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funded project under the Novo Nordisk Foundation Exploratory Interdisciplinary Synergy programme. The project focuses on the design and experimental validation of de novo proteins that target sperm and