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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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and diplomas Two academic references Please apply exclusively via the online application portal. Applications submitted by email or post will not be considered. For more information about the Exercise
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, brings in their motivation and creativity, can clearly communicate, enjoys working closely and respectfully within a team and has basic experience in laboratories and in data analysis. Prior experience in
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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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balloon system and assisting with UAV/floating balloon operations. Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to derive ice crystal growth rates via
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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
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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of such tumors Establishment of a unique 3D micro-CT histology data base for recurrent thyroid carcinomas Data management, data treatment Extension and coupling with high-field MRI technology towards in-vivo
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in railway operations. A key challenge lies in the variability and lack of precise train dynamics data, particularly for freight trains with varying lengths, weights, and wagon conditions, often