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SD-26086 POSTDOCTORAL RESEARCHER IN THE PHYSICAL VAPOR DEPOSITION OF ELECTROCATALYST FOR PHOTOANO...
physical vapor deposition of transparent oxide thin films and metal alloy thin films for advanced electrocatalytic applications (WP1). Comprehensive characterization methods, including surface analysis (XPS
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SD-26083 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF METAL ORGANIC FRAMEWORKS F...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of metal organic frameworks for energy applications (WP4). Comprehensive characterization methods
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of covalent organic frameworks for energy applications (WP3). Comprehensive characterization methods
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to apply The application must include: Cover letter (1 page, incl. a statement of motivation) and a description of your experience working with children and educators and experience with quantitative methods
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
chemical vapor deposition of unexplored building blocks for the synthesis of functional thin films (WP2). Comprehensive characterization methods, including surface analysis (XPS, Raman, SIMS, HRMS, TEM, FTIR
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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formal demography and demographic methods. The Department of Demography (https://demografie.univie.ac.at/ ) at the University of Vienna was established in 2019 and comprises a team of faculty members who
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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, proteins, or virus-like particles, including hands-on experience with microbiological and/or biochemical laboratory techniques, will be beneficial. Specific Requirements 1. PhD degree in biology