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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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of the required reference letters implies exclusion from the RE-Fibre recruitment procedure. For more information, please contact us through the Contact form on the RE-Fibre website. Data of the applicants will be
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letters implies exclusion from the RE-Fibre recruitment procedure. For more information, please contact us through the Contact form on the RE-Fibre website. Data of the applicants will be shared within
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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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programs . Application Form & documents to upload You will first have to fill in the online application form . Requested information: your personal details your academic background the doctoral program you
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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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/he will participate in writing scientific publications and presenting data at national and international scientific conferences. Previous experience in one or more of the following topics is required
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include low energy-consuming electric-field-controllable non-volatile memory elements with high information density. The recent progress in controlling the electrostatic and elastic boundary conditions in
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contact information of at least two referees A cover letter detailing your research background and research interests (< 1 page) Academic transcripts (Bachelor and Master) Please note that we exclusively
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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data