59 parallel-processing-bioinformatics PhD positions at Technical University of Denmark in Denmark
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typically done by manually adjusting control gains through trial and error - a time-consuming process that is increasingly unreliable as grid conditions shift from minute to minute. This PhD project will
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and qualifications. Possible topics are: The theory of ultrafast pump-probe experiments (e.g., time-resolved X-ray scattering and spectroscopy), simulations and data processing of actual ultrafast
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a PhD at DTU. Application procedure Your complete online application must be submitted no later than 19 December 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all
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of such latent thermal energy storage. This installation will be taken into operation in March 2026. To optimize the controllability of cold storage using phase change materials, a novel charge determination
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of infection biomarkers of pathogens found in environmental isolates from water processing and air-cooling devices. Focus on pathogens from the Legionella genus, and the detection of pathogen surface proteins
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a PhD at DTU. Application procedure Your complete online application must be submitted no later than 5 January 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all
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stem cell engineering, disease modeling, molecular biology, and advanced microscopy to understand and treat retinal diseases. Through this PhD project, you will work at the interface between stem cell
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 26 November 2025 (23:59 Danish time). Applications must be submitted as
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D