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master student projects within the master program in Sustainable energy engineering. Qualifications You are qualified to apply for this position if you have an MSc or equivalent degree in Environment and
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state-of-the-art research. You must have a master's degree in computer science or similar subject. Experience with machine learning, Deep Learning and statistics is required. You must have good knowledge
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Limited, UK (regarding beam shaping solutions). The mobility periods of each PhD-student are integral part of this EU funding scheme. Duties Your main tasks will be to perform experimental and theoretical
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. The position involves academic work with our industrial partners and the public sector. Duties The main responsibilities as a postdoctoral fellow consist of conducting research and teaching in order to qualify
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our teaching, mainly within our engineering programs (Bachelor of Science and Master of Science in Engineering) in the main field of study Computer Science and Engineering in Luleå and our Bachelor's
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our teaching, mainly within our engineering programs (Bachelor of Science and Master of Science in Engineering) in the main field of study Computer Science and Engineering in Luleå and our Bachelor's
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subject, Process Metallurgy, deals with the sustainable extraction of metals from primary and secondary raw materials using both pyrometallurgical and hydrometallurgical processes. The research is
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"GreenCarbon4Steel - Tailoring Green Carbon for Steel Industry”, funded by the Austrian Research Promotion Agency. The project is led by BEST – Bioenergy and Sustainable Technologies GmbH and LTU is one of the main
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"GreenCarbon4Steel - Tailoring Green Carbon for Steel Industry”, funded by the Austrian Research Promotion Agency. The project is led by BEST – Bioenergy and Sustainable Technologies GmbH and LTU is one of the main
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are looking for committed people who have: -A solid educational background, civilingenjör or master's degree or equivalent, in electrical engineering, physics or related fields. -Knowledge of programming in