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Field
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to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected
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. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Experience in low-latency RPC, network stacks, distributed systems and host data
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to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Laboratory of Atmospheric Chemistry, we
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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conduct fieldwork across European mountain ranges and model the distribution of microbial taxa. The newly generated data will be complemented with distribution records from our in-house global fungal
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27th April 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in “Development of Probabilistic Reliability Criteria in Distribution Grids
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with renewable energy generation, the utilization of EVs as distributed energy storage through Vehicle-to-Everything (V2X) technologies, and coordinated control mechanisms—such as aggregators—to mitigate
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teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be
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explore methods to attribute elements of model spaces to skills, or specific aspects of the data. This can be used either as input in hypermodelling, where new models for specific domains are generated
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-created with industry to stay focused on real-world needs and include an industrial placement Structured training in general and specialist skills and individual development planning aligned to the Vitae