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learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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of infrastructure and minimize material waste. 2. Optimized design of foundations for light structures, to ensure efficiency, durability, and minimal environmental impact. This PhD project aims to explore these two
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on algorithmic and application research in the domain of AI and scientific simulations to drive SW-HW-Technology co-optimization and develop novel ML/Hybrid-AI methods for semiconductor processing and health
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to the computational analysis of multi-omic data that will be generated during the project. The candidate must have completed (or be near completion) a PhD/DPhil in Neuroscience/Biochemistry or relevant discipline and
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wish to shape the future direction of archival studies through innovative, theory-driven, and practice-oriented research in an optimal research environment. Close cooperation with Austrian and
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ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings
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Surface Templates for Area-Selective Atomic Layer Deposition Project Overview: Develop and optimize aerosol printing processes to deposit surface modifiers or seeding layers with controlled chemical
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are expected to lead to optimized textiles used for medical and sports applications. This PhD thesis concerns exclusively the tribological part. Projet dans le cadre d'un projet franco-suisse ANR/FNS (en attente
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institutions is desirable. We invite applications from colleagues who wish to shape the future direction of archival studies through innovative, theory-driven, and practice-oriented research in an optimal