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automate the scientific process leading to fundamental breakthroughs? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed matter physics, and
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. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
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understanding of physical and chemical processes in soils. You have experience with geospatial modeling and are proficient in a programming language relevant to data analysis (ideally R). Additionally, you
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candidates to apply for a post-doctoral position in Biomedical Research investigating allergic, immunologic and metabolic processes. The candidate will join a multi-disciplinary team focusing
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transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries involved in this process. Join our young, ambitious, and
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data demonstrating how an existing anti-biofilm compound binds to and
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for Engineering Design The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral position in
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, Python, or C++ is required. A strong interest in numerical modelling, sound, signal processing and programming is expected. Additionally, very good command of German and English as well as experience with