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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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assess risks of de-anonymization, including researching current de-anonymization strategies Deploying and benchmarking anonymization methods. Investigation of state-of-the-art methods from cryptography and
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
, and grassroots creativity that may be undervalued in formal cultural economies The project will innovate methodologically (leveraging methods from human-centred design and digital sociology) to generate
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
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research, in and outside academia. The focus for the PhD work will be probabilistic structural lifetime estimation of offshore dynamic riser and power cable systems by use of continuous measurements
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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microanalysis methods to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. As a PhD student, you will be supported by a multidisciplinary team