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research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses
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develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and digital best practice in
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departments and faculties at the University of Vienna, whose focus lies on theory and applications in the field of data science and machine learning. The Faculties of Mathematics and of Computer Science, which
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faculty. You participate in research projects and studies. Candidate Profile: You might have a background in computational chemistry, theoretical condensed matter physics, computer science, or a similar
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English via email to the Dean of the Faculty of Business, Economics and Statistics, Univ.-Prof. Dr. Karl Dörner (dekanat.wiwi@univie.ac.at ): 1. Letter of motivation 2. Academic curriculum vitae education
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science, or any other related field Theoretical and practical experience with behavioral (e.g. reaction time, eye-tracking) and neurophysiological methods (EEG, fNIRS, fMRI) Solid knowledge and some
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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. Your scientific profile: You must hold a Master's degree, majoring in molecular biology or cell biology You must have successfully passed the selection procedure for the Vienna Biocenter PhD Program
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for Microbiology and Environmental Systems Science (CeMESS), which integrates terrestrial ecosystem research with microbiome science, computational systems biology and environmental pollution research. Active
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solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital teaching in chemistry. The focus of your work