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detailed Curriculum Vitae (in English); 3. A copy of the Master Certificate; 4. The email contact of up to 3 referees. Non-compliance with this documents/information determines the immediate rejection
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interdisciplinary research and up-to-date research methods, smart textiles and protective clothing technologies are investigated and developed. The models of protective clothing are designed and their functional and
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
" Scientific knowledge and skills Candidates must have: Advanced training in quantitative methods (panel data, causal inference, multilevel modeling) Strong proficiency in R Experience with panel/time-series
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to determine the most effective ways for healthcare professionals to collaborate in the best interest of the patient, and we delve into health economics to establish models for cost savings in healthcare. Our
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-quality journals and leading conferences. The successful candidate will, if possible, develop or adopt numerical simulation models and methods pertinent to icing science and engineering, and develop
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neurophysiological experiments - mathematical analysis of the dynamics of neural networks - programming and numerical simulations of neural networks - development of quantitative model predictions and
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal is to identify biomechanical “weak points” in cancer cell invasion and to
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, is organised as a section at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different research themes: (1