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on how AI is transforming text culture Participate in and contribute to empirical studies, for example, survey designs, corpus studies, experimental setups Collaborate across projects exploring AI-driven
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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the built environment. The department leverages unique research infrastructures and strong collaboration with industry and policymakers to conduct world-leading research that supports the transition towards a
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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