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approaches such as electrochemically mediated amine regeneration show strong potential for flexible, low‑temperature operation, yet they remain largely unexplored within fully integrated hybrid systems
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of Future Work and Life. **English version below Wir suchen für unser Team ab sofort, in Vollzeit, zunächst befristet für 2 Jahre, eine/n Post Doc (m/w/d) oder Wissenschaftliche/n Mitarbeiter/in (m/w/d) zum
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Retrofitting UK Schools for Health, Performance, and Climate Resilience This exciting opportunity is based within the Buildings, Energy and Environment (BEE) Research Group in the Faculty
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Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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of synaptic function. We are also interested in understanding how disruption of these mechanisms may contribute to neurological disorders. The successful candidate will join a multidisciplinary research
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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all health and safety rules. The proposed work is entirel computational. Advantages of working at the LBBE and at the CNRS: - a stimulating and professional work environment, including access
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work with academic, public- and private-sector partners. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular