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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and
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institutes, and four companies from EU countries, the UK and Switzerland. The mission of FADOS is to achieve targeted modification of semiconductor properties through electronic doping to control and modify
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at the link below. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://su.varbi.com/en/what:job/jobID:860232/ . Contact: Alexander Berglund Email: Postal
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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to tailor light absorption and light emission. The work will be carried out in collaboration with experts in nanoscale photonics/electronics, advanced lasers, nanoscale synthesis, and characterization
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characterization (lithogeochemistry, XRD), and detailed microanalysis (e.g. SEM-WDS, electron microprobe, Raman spectroscopy, SIMS). The PhD student will integrate these methods to better understand how sedimentary
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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electronics, power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and