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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
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of activities spanning nine different departments through which Linnaeus University conducts education and research. The educational programs in technology range from short courses lasting a few weeks
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doctoral programme in textile and fashion design. Particular focus will be on fine arts education and fine arts research in textiles, clothing, and fashion, both theoretical and practical. Your duties
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equivalent research qualification within the subject of the position. very good oral and written proficiency in English. you have experience working with aerosol particles you have experience in transmission
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Bachelor’s or Master’s level, or an equivalent foreign degree related to the research field Documented research experience in pancreatic cancer Documented proficiency in spoken and written English Experience
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of budget work. A very good knowledge of Swedish and English, both spoken and written, is a requirement, as both languages are used in the daily work. Your personal qualities are of great importance. You are
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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of the department’s programs and courses, from undergraduate to advanced levels. 50% of the position is dedicated to teaching, including administrative duties. 50% is dedicated to research. The incumbent is expected
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partners in research and education. The department works together with the neighboring departments for a creative environment with challenging educational program and cutting-edge research. Research in
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research and teaching plan together, which will be used to monitor and evaluate progress. The plan will be reviewed midway through the appointment (after approximately two years) to ensure the best possible