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-472 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with developing generic tools that take a
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(100%) doctoral scholarship holder in the field of thermal energy system optimization. Position You will actively work on the preparation and defence of a PhD thesis in the field of thermal energy system
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focuses on a modular sensing system combining ultraviolet (UV), visible (VIS), and near-infrared (NIR) reflection spectroscopy, fluorescence spectroscopy, and Raman spectroscopy, supported by a co-optimized
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energy provision failure. The objective of this PhD research in particular is to develop novel energy optimization mechanisms for maintaining network operation during long-term energy provision failures
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible technologies, and integrate
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deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics