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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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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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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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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
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ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent
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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 globally leading computational and data
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interact with—whether in the workplace, at home, or in other settings. We provide a wide range of appreciated undergraduate education (given in Swedish) across several engineering programs, such as Master of
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silvicultural system is a planned program of treatments throughout the entire life of a forest stand, designed for influencing the growth of trees and their spatial and temporal distribution to achieve