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construction sites while traction-bus batteries can be repurposed as second-life energy storage for peak shaving. Job description The rapid electrification of transport, buildings, and industry is creating
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning
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energy consumption. You will investigate the complete technology stack, including device physics, photonic and electronic design, modelling, chip layout, cleanroom fabrication, heterogeneous integration
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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two complementary backgrounds. You may have experience in iPSC-based disease modelling, stem-cell or cell biology and an interest in developing your data-analysis skills, or a background in
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groups in AI, 3D modelling and T-cell immunology, leading TCR discovery and TCR-biologics companies, a cancer vaccine research group running clinical trials, and the national super-computing center
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mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
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. Proficiency in R and Python. Affinity with energy efficiency topics and behavioural microeconomic modelling. Additional Information Benefits An exciting position within an international yet personal university
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transition. See: https://www.tudelft.nl/en/2026/tbm/tpm-researchers-receive-nwo-kic-consumer-behaviour-for-a-circular-system-transition-grant . The project includes 2 PhD positions, 2 Postdoc positions, and
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optical energy required for an operation. However, critical slowing down and enhanced fluctuations may limit processing speed and accuracy. The main objective of this PhD project is to quantify this trade