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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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people who have: - A solid educational background, master's degree or equivalent, in electrical engineering, physics or related fields. - Good practical knowledge regarding measurement technology and
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to this pagehttps://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=8261&rmlang=UK
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to this pagehttps://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=8249&rmlang=UK
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August 2024 Reference number: 2236-2024 URL to this pagehttps://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=8207&rmlang=UK
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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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. Final day to apply: 15 August 2024 Reference number: 2195-2024 URL to this pagehttps://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=8160
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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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of this project is to use life cycle assessment (LCA) as a main tool to identify where in the steel’s material value chain the greatest environmental impact lies. The assessment can be used as a tool to