16 software-engineering-requirements-engineering-"https:"-"Universidade-do-Minho---ISISE" PhD positions in Sweden
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https://jobrxiv.org/job/kth-royal-institute-of-technology-27778-two-phd-positio… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteKTH Royal Institute
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Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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Engineering and Security (SES) group, both at the Department of Computing Science, Umeå University. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program
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well as understanding experience in independent project work as well as the ability to work in a team. For this position, it is required that you have strong programming skills and interest in software security. Meriting
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technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and
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Engineering and Security (SES) group, both at the Department of Computing Science, Umeå University. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program
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at the Department of Science and Technology, Campus Norrköping. As a doctoral student, you will take part in a project exploring how AI can create engaging and interactive educational environments. You will
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programmer in R and/or Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from
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software (e.g. in security), there is an urgent need for verifying the trustworthiness of quantum programs at scale. Features of modern quantum programs such as Quantum Error Correction lead to hybrid
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or