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students and the Master of Public Health programme, as well as some PhD courses. The position is for a period of three years. The objective of the position is to complete research training to the level of a
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invites applicants for a PhD Fellowship in Quantum-Safe Blockchain Technologies at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant
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and master’s degree programmes in electrical engineering, computer engineering, data science, cybernetics, artificial intelligence, and medical technology. In addition, PhD programmes are offered in
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Computer science » Computer systems Computer science » Programming Technology » Computer technology Technology » Information technology Medical sciences » Health sciences All Researcher Profile First Stage
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numerically implements the newly derived theoretical frameworks using fundamental computer programming languages. The numerical solver will leverage existing modules (by then) developed from the ‘OceanCoupling
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in ray tracing is a requirement. Experience from or competence in seismic inversion and/or travel time tomography is a requirement. Experience from or competence in computer programming (e.g. Matlab
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(IC) design. The PhD scholar position is affiliated with the PhD program in Engineering Science (PENG) under Faculty of Technology, Art and Desgin (TKD). The research project is affiliated with
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with respect to academic credentials. Required qualifications: Master’s degree or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior