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are multidisciplinary and built on close collaborations with business and industry. This approach is further strengthened by our world-renowned Problem-Based Learning (PBL) teaching model, which is grounded in solving
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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-learn, PyTorch) or physics-informed neural networks for thermal systems is a plus. Excellent communication and collaboration skills across disciplines. We offer DTU is a leading technical university
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reconfiguration mechanisms, and ensuring robust system integration in collaboration with industrial partner Leica Geosystems Technology A/S, part of Hexagon. The postdoc will also collaborate with academic and
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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Job Description Are you a talented, self-motivated, and collaborative researcher who thrives in multidisciplinary environments? Are you excited by the idea of studying the carbon cycle in
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activities Collaborate with researchers across Denmark and Europe in an interdisciplinary environment Help coordinate project efforts across En’Zync partners, including DTU, Aarhus University, the Danish
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for innovative new projects (both local and international collaborations); Establish and maintain collaborations with partners within and outside DTU, as well as with private and public sector partners; Teach and
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contributing to cutting-edge research in a dynamic and ambitious young research group, supported by the POLIMA Center and its extensive network of international collaborators. POLIMA is a Center of Excellence
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, geometry and analysis, with a focus on research at the interface of these areas. About the Positions Successful candidates will join a vibrant and international research environment, collaborating closely