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prototyping, fabrication experiments, development of experimental setups, material testing, design modelling and optimisation, and the preparation of workflows interfacing with robotic and construction
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out within the Centre’s strategic research areas and objectives, contributing to ongoing projects within one or more of the thematic areas (listed below), with a focus on the development of high-quality
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information may be obtained from Daniel Olesen, danole@space.dtu.dk or Michael Schultz Rasmussen, msr@space.dtu.dk You can read more about the division at https://www.space.dtu.dk/english/research
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professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of
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can read more about the department here and about the faculty here . Your job responsibilities As Clinical Professor of Oncology at DCPT, you will have joint responsibility for the development
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an LLM-assisted software framework for first-principles simulations, thereby gaining extensive experience within scientific software development and AI-driven workflow automation. The work will initially
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of
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setups. Build and Experiment : Lead the hands-on development, calibration, and testing of the prototype diagnostic system in our lab and at leading international fusion facilities. Collaborate : Work
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, acoustic, and archival). Your primary tasks will be: Development of new research projects in collaboration with colleagues at the DTU Aqua sections and/or international partners. Publication of papers in