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Field
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid understanding of fluid dynamics and heat transfer, as
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a first-class or upper second-class degree (or equivalent) in Civil, Mechanical, Structural and Marine engineering or other relevant areas. Programme Package and Funding Our EnerHy PhD Studentship
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of ground-breaking research initiatives, including projects in vessel decarbonisation, innovative vessel propulsion, alternative fuels for range extension of electric vessels, energy storage systems
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you will break new ground at the absolute forefront of large-scale thermal energy storage. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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in chemistry, physical chemistry, physics, biophysics, biology, biomechanics, mechanical engineering and electrical engineering work together in the Cluster. The HEiKA Graduate School on “Functional
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importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
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organised in five divisions: Biology, Chemistry, and Process Engineering; Informatics, Economics, and Society; Mechanical and Electrical Engineering; Natural and Built Environment; and Physics and Mathematics
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://www.ntnu.edu/iv/doctoral-programme ) Specific requirements for the proposed project: You must have an academically relevant background within fluid mechanics and heat transfer, demonstrated through projects