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data since the middle of the 19th century. The PhD candidate will have the opportunity to develop their own research questions within this broad theme. Finally, the candidate will also contribute
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temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to better understand the tradeoffs related to cooling technology
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: Berne, Bern 3012, Switzerland [map ] Subject Areas: Physics / Nuclear Physics High Energy Physics / Phenomenology High-Energy Theory / Particle Physics Appl Deadline: (posted 2025/04/02, listed until
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developments in the field of chironomid palaeoecology include the development of high-resolution analyses to reconstruct decadal-scale ecosystem dynamics of lake ecosystems, the interpretation of influx data
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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. The objectives of the advertised PhD position are to: Assume responsibility for recruitment of participants, data entry and data management, development of follow up surveys, testing of psychometric properties
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. Historical data in the Empa's NEST demonstrator and its multi-energy back-bone will be utilized to design multi-energy districts. The candidate shall translate his/her research ideas to tackle these challenges