133 phd-psychology "GESIS Leibniz Institut für Sozialwissenschaften" positions at ETH Zurich
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journals Communicating and engaging with the public Teaching support and supervision under the umbrella of the Chair of Technology Marketing, D-MTEC Your profile Essential requirements: Degree in psychology
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100%, Zurich, fixed-term The Chair of Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in self-emerging
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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling. Project
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70%-100%, Zurich, fixed-term We use a custom-built web app for conducting psychological and cognitive skill assessments such as personality traits, working memory, empathy, etc. You can think of
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100%, Zurich, fixed-term The Climate Geology group is looking for a curious and motivated PhD candidate interested in combining careful laboratory analyses and model-data comparison to understand
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100%, Zurich, fixed-term The ETH Professorship for Practical Philosophy in the department for Humanities, Social and Political sciences offers a PhD positions in practical philosophy (Prof. Dr. Dr
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to develop predictive methods for identifying sustainable chemicals and their production processes. The research endeavor is part of the project NCCR Catalysis, which...
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100%, Zurich, fixed-term The goal of this research is to investigate turbulent hydrogen-air combustion at elevated pressure. This research is relevant for decarbonizing key technologies for power generation and aircraft propulsion by means of hydrogen combustors. The position is financed by an...
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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling and
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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management