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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Machine Learning Assisted Terahertz Spectroscopy, within the doctoral programme
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methods and characterization tools. Your competencies The candidate should have one of the following backgrounds: Chemistry, Chemical Engineering, Electrochemistry or Materials Science. Experiences in
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At the Faculty of Engineering and Science, Department of Materials and Production one or more PhD stipends is available within the doctoral programme Materials Science, Mechanical and Manufacturing
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collaboration? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within
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verification of their activity and benchmarked against known enzymes. Electrospinning will be used to recycle textile fibers as well as to generate substrates with different material composition and
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everything from basic science to strategic and applicable research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management
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, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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physics/nanotechnology/materials science, or a related field. Background in optics, semiconductor devices, or thermal engineering is a plus Hands on experience on various nanofabrication technologies, e.g