58 combinatorial-optimization positions at Technical University of Denmark in Denmark
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of millions of combinations of control parameters, determining the optimal values to maximize stability, efficiency, and dynamic performance. The ideal candidate will have experience or an interest in
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cultures. To overcome the present-day challenges of the underlying field interaction with the lossy fluids and cells, machine learning will be used to optimize the resulting electromagnetic solutions
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physicochemical properties of PFAS, thereby supporting environmental risk assessments and optimization of removal technologies. Responsibilities and qualifications The postdoctoral researcher will work on the
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. Assisting researchers in porting, optimizing, and parallelizing their applications for QC environments, offering guidance on software development, debugging, and profiling as needed. Creating and maintaining
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: developing and implementing a data reduction pipeline for 2ES to achieve extreme RV precision; conducting laboratory testing and characterization of 2ES to ensure optimal performance and stability; integrating
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the development of additional microbiological assays, including in vitro assays for plant–microbe interactions Maintaining, optimizing, and troubleshooting assay protocols and high-throughput workflows
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frameworks to support predictive maintenance assessment of PV plants. Your main responsibilities will include: Developing and optimizing daylight luminescence imaging techniques for field inspection
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
simulation results will be used to propose material and design guidelines for improved environmental robustness, such as optimized Cu pad and gel substrate compositions for IGBTs, and enhanced design