65 phd-in-simulation-engineer Postdoctoral positions at Technical University of Denmark
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group within the Section of Solid Mechanics, Department of Civil and Mechanical Engineering is hiring a highly qualified and ambitious Postdoc, to join a Novo Nordisk Foundation-funded project, “Rubber
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, especially in the context of scientific writing and presentations A collaborative mindset and enthusiasm for interdisciplinary research As a formal qualification, you must hold a PhD degree (or equivalent). We
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have: A PhD degree in engineering, biotechnology, or equivalent. At least 1 year of experience working in the areas of biomass valorisation, enzymatic hydrolysis and fermentation after obtaining the PhD
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development and teaching, and supervising students A PhD in control engineering, mechanical engineering, or a relevant engineering field with a focus on energy systems is required for this position. Experience
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conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
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on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk. Technology for people
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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institutional context, job roles and available resources. You will be employed at DTU Management and be associated with the section for Organisation Science and Technology. You will work physically from CAISA
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration