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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 11 May, 2025 For questions please contact: Prof. Leif Eriksson, Geoscience and Remote Sensing
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environment at bachelor's and master's level within the Architecture Program. The teaching will to a large extent involve individual supervision and coaching of students where the design process and methods
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advanced spectroscopy and electrochemical methods. Strong proficiency in written and spoken English. Demonstrated early career achievements, including scientific publications. Contract terms Full-time
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the following areas: - Structural engineering - Computational mechanics, including the Finite Element Method and structural dynamics Desirable qualifications In-depth knowledge in the following areas: - Have been
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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for early-career researchers in the field of environment and sustainability. The position includes, among other things, participation in a leadership development program and the supervision of a doctoral
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teaching at basic and advanced level and the development of courses in the field of building physics and building materials including numerical methods. Also adapting existing or developing new further
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the