32 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Germany
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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provide excellent research conditions and a structured curriculum within an international and interdisciplinary environment. Course organisation The curriculum of IMPRS-PM can be found at https://mpl.mpg.de
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Your Profile: An excellent master’s degree with strong background in nano science, materials science, chemistry, chemical engineering, physics or related Experience with modeling of reaction kinetics
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Student Advice and Career Service (IBZ) or speak directly to FAU’s liaison officer for the scholarship organisation you wish to apply to. https://www.fau.eu/study/prospective-students/financing-your-studies
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Chemistry! We are seeking to apply Interlocked Molecules in Catalysis and Chemosensing. Please see our homepage for details: https://www.uni-due.de/akniemeyer/index.php Who are we looking for? The Henriette
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem