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the project. Disseminate research findings through publications and presentations at international conferences. Expectations of qualifications: PhD in Ecology, Evolutionary Biology, or a related discipline
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will develop in the position; it is expected that you have previous experience on each of them: Develop and implement CFD models to simulate the behavior of PRO systems. Apply ML algorithms to optimise
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learning representations and improve their interactivity. Make AI explanations more understandable Machine learning algorithms often appear as complex black boxes and much research goes into visualizing
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techniques for integrating such solutions into modern SDV middleware. Responsibilities: Conduct research in runtime analysis and reconfiguration of in-vehicle TSN networks. Develop algorithms and prototypes
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machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital co-simulation
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits
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the interdisciplinary team at DTU Construct, DTU 3D Imaging Centre, and DTU Compute, particularly the other “MathCrete” postdoc at DTU Compute (see separate job advert “Postdoc in advanced reconstruction algorithms
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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in evolutionary ecology, eco-physiology, or related fields - Solid publication record with a clear focus on thermal biology of ectotherm animals and/or plants. - Experience relating to thermal
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field