330 parallel-programming-"NTNU-Norwegian-University-of-Science-and-Technology" positions in Sweden
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to the position, including demonstrated independent research and peer-reviewed publications. Proficiency in statistical programming (e.g., R, Python, or similar) is a requirement, as is fluency in spoken and
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background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
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Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
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the Wallenberg AI, Autonomous Systems and Software Program (WASP). Application deadline is 10 August 2025. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research
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offers a bachelor’s program in building technology, a bachelor’s program in building design, and a two-year master's program in sustainable construction technology. We are also developing an innovative 5
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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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innovation come together. Our unique lab environments and expertise represent major parts of the textile value chain. Close cooperation with the industry shapes our educational programs, making the School
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at the Artistic Campus. With approximately 75 students, around ten employees, and many guest lecturers, it is a dynamic and international environment. The Academy of Fine Arts offers a 3-year bachelor's program
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to building our profile in modern computational statistics and statistical machine learning, as exemplified in our new joint Master’s programme with Computer Science. In the position you are entitled to a
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create