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, market participation strategies and risk management, large-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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, market participation strategies and risk management, large-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in
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. Why this project? As we age, many of us face multimorbidity, where multiple diseases strike together, often driven by chronic, low-level inflammation damaging our tissues. Current treatments don’t
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topics include: Modelling, simulation, and optimisation of integrated energy systems and energy hubs combining multiple vectors, such as electricity, heating, cooling, gas, hydrogen, and transportation
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, this PhD project will focus on developing and applying lymph node-on-a-chip (LN-on-a-chip) platforms. Your tasks: You set up co-culture of multiple immune cell types in a physiologically relevant
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world. We look forward to receiving your application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous
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sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
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excellent command of English language What we offer: We will be happy to welcome you to an international team of highly motivated researchers to be part of a highly active scientific field. What we offer
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multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact. The generation of particles is rooted in the complex fracture events spanning