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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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at: Department of Computing Science Project description Our societies rely on computer systems and on software stacks. Unfortunately, software systems contain bugs and vulnerabilities which can be exploited by
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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manuscripts, and advanced documented knowledge in the use of R, Stata or other analytical software are considered extra merit. Working knowledge of Swedish is preferable but not mandatory. Place of work: Umeå
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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge
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://www.umu.se/en/department-of-computing-science/ Project description In modern software systems and the organizations that run them, a substantial part of day-to-day decisions with critical impact on individual
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postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators. Research
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work