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considered if you can document that you are particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Excellent communication skills in English
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computational resources, and the work will be closely associated with a project on Arctic greening based at ETH Zürich . The work will also be part of the Nordic Borealization Network that seeks to understand
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activities. We offer more than 40 study programmes, from oneyear programmes to PhD-programmes within e.g. Health Sciences and Social Care, Informatics, Law and Social Sciences, Logistics, Sport Management, and
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application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks The candidate
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immediate leader will be associate Professor Victorien Prot. About the project This PhD position aims to increase our understanding of the mechanics of heart valve diseases using cutting-edge computational
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and
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be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program of the Faculty of Engineering . Excellent
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toward popular science dissemination Participate in international activities such as conferences and/or workshops Teach history subjects and/or computational methods to historians Required selection
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collaborative project with 65 partners within maritime industry and research, funded by the Research Council of Norway under the Research Centre for Environment-friendly Energy (FME) program. The focus is on
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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments