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Field
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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Inverse Design of Perovskite-Based Materials for Photovoltaic Devices Your Job: As a PhD candidate, you will develop and deploy an artificial intelligence (AI)-driven approach to streamline high-throughput
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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: Join an interdisciplinary team that brings state-of-the-art AI
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Your Job: Join an interdisciplinary team that brings state-of-the-art AI research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively
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, your work will contribute to establishing a fundamental understanding of the mechanical properties and microstructure of newly developed advanced ceramic materials for solid oxide electrolyzer cells
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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Your Job: The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials
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for applying living therapeutic materias. The PhD thesis will be embedded in the Leibniz Science Campus on Living Therapeutic Materials (https://www.lsclifemat.de ), an interdisciplinary consortium aiming
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20.07.2023, Wissenschaftliches Personal The Chair of Materials Engineering of Additive Manufacturing is looking for a full-time applicant as Wissenschaftliche/n Mitarbeiter/in (m/f/d) Founded in
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PhD position | Sustainable Energy Materials | Electrochemistry 30.06.2023, Wissenschaftliches Personal We test novel catalysts for sustainable energy conversion processes such as polymer electrolyte