68 optimization-nonlinear-functions Postdoctoral positions at Technical University of Denmark
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optimization of waste heat harvesting. Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing on maximizing waste energy recovery efficiency. You
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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Job Description Green fuels through Power-to-X (PtX) require vast amounts of water. Concurrently, the country's pivot towards biogas compounds our water shortage with substantial water use and
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with solid background in computer science who can perform tasks at the interface between AI, Formal Methods and Business Process Management. Responsibilities and qualifications Your role as a postdoc
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are looking for two new postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a
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funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part of our team aiming to develop and utilize advanced X-ray techniques in the ultrafast time domain