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technical, physical and biological pre-clinical studies. The research staff connected to DCPT currently include five full-time professors in medical physics, two clinical professors (MDs), one full-time
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ecological data collection. The positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key
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group ‘T cells & Cancer’, under supervision of Professor Sine Reker Hadrup. We are world leaders in detection and modification of antigen specific T cells and will in the current project apply novel
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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TRANSFORM SOCIETY WITH BUSINESS CBS is a globally recognised business school with deep roots in the Nordic socio-economic model. Our faculty has a broad focus on societal challenges, and we have earned a
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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the project would be that of providing extra expertise in coding theory to the team, complementing the current competences of the members of the algebra group at DTU and supporting the current research
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areas: chromatin/epigenetics (e.g., ChIP-seq, CUT&RUN/CUT&Tag, chromatin fractionation), stem cell culture and differentiation (ideally mouse ESCs), reporter-based assays, flow cytometry/FACS, and/or
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spectrometry (DEMS) would be highly beneficial. Experience with electrochemical quartz microbalances, ICP-MS, GC and mass flow controllers as well as characterization techniques such as electron microscopy, X