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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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: Education Ph.D. in Engineering, Chemistry, Biology, Physics or a relevant field. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience Significant* experience in
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Materials Science and Engineering (PhD programme in Materials Science and Engineering - NTNU ) within three months of your employment contract start date, and that you participate in an organized doctoral
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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health
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development. As a student in the PhD Programme Science and Technology , you will work towards your doctoral thesis and earn your PhD upon successful defense of your thesis. Main tasks Description of tasks