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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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in evolutionary ecology, eco-physiology, or related fields - Solid publication record with a clear focus on thermal biology of ectotherm animals and/or plants. - Experience relating to thermal
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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and time, with particular focus on migratory populations. Evolutionary genomics: determining adaptive variation within and among populations, including combining molecular and experimental analyses
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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solvers and optimization algorithms for 1 year and 4 months. The Section of Solid Mechanics conducts research and teaching in the fields of structural and materials mechanics, vibration and their active
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presentations at international conferences. Expectations of qualifications: PhD in Ecology, Evolutionary Biology, or a related discipline. Demonstrated expertise in ecological fieldwork, particularly in plant or
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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an optimal molecular representation (including data procurement) and integrating generative model and binding oracles. Propose an algorithm to bias the generative models towards desirable properties, such as