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technology and recycling group. It focuses on applications where its expertise in materials science, chemistry and metallurgy can make a real difference. Its activities are organised into three business groups
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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chemistry, or material science. Knowledge in the operation of ultrahigh vacuum equipment and using X-ray spectroscopies is highly beneficial. Background in photovoltaic materials research is appreciated but
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preparing publications in peer-reviewed journal. Your Profile M.Sc. in (Electro)Chemistry, Physics, Electrical Engineering, Materials Sciences or equivalent qualification Experience in setting-up, operating
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24 May 2024 Job Information Organisation/Company University of Wuppertal Department Department of Chemistry and Biology Research Field Chemistry » Organic chemistry Chemistry » Molecular chemistry
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5 May 2024 Job Information Organisation/Company Wegard GmbH Department R&D Research Field Technology Engineering » Industrial engineering Engineering » Mechanical engineering Engineering » Materials
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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based at BayBatt which brings together battery-specific expertise in physics and chemistry, material science and engineering, as well as information technology and economics as a supra-regional competence
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information from experiment data Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine