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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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GENESIS – Generative AI Agents for Software Engineering: Skills, Integration, and Satisfaction. The project is a multi-year collaboration with Ericsson and Axis Communications, aiming to investigate and
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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disciplines. Experience in studying and applying protection agents or surface coatings for wood products is welcome. Previous experience in using analytical instruments is desirable. Fluent English language
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involve established software tools, such as: CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. CONVERGE for unsteady three-dimensional simulations of turbulent
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the research (max one page) CV including full list of publications, Copy of doctoral thesis, A copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained Certified copies of other diplomas, list of completed academic
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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation