10 scientific-programming-"INSAIT---The-Institute-for-Computer-Science" positions at Linnaeus University
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of forestry, forest damage, forest soil science, and wood science. The department offers courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area
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science, and wood science. The department offers courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Forest Materials
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and Architectural Engineering, and a two-year master’s program in Sustainable Structural Engineering. A Master of Science in Engineering program in Civil Engineering is currently under development
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criteria are: Demonstrated ability to independently plan and execute research projects, secure research funding, and publish scientific works. Completion of formal pedagogical qualifications, including
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weeks or months to five-year Master of Science in Engineering courses. The research responds to society’s needs in several broad fields - both in the short and long term - with basic research and applied
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educational programs. Several of the programs are offered remotely, both nationally and internationally. Informatics also has independent courses as well as teaching and research collaborations with other
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Science is part of the Faculty of Health and Life Sciences. The research activities within this multidisciplinary department include the areas of aquatic ecology, cell and organism biology, evolutionary
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national research program’s Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) cluster AI Futures of Culture and Memory (FAIM). FAIM has its aim to explore AI:s
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successful applicant admitted to the doctoral programme will take part in the GATE graduate school – the Graduate School of Advanced Technology and Enterprising – and work in collaboration with companies in
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communication skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment