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funded 3-4 year PhD position at ETH Zurich. Opportunity to directly linking simulations with unique experimental data from intentional cloud perturbations. Access to high-performance computing resources
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framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
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/research/academic_career_paths/professorship/index_eng.html#pane1397223 or under https://kdrive.medicinebern.ch/app/share/991093/bc77beab-f75a-4634-bbeb-487240307ec0 Further information about the position
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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to improve their spatial resolution and improve predictions of flooding events. Project background The PhD position is embedded in the SNSF/DFG project HiGrav: High-resolution gravity fields for better flood
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not be considered. Further information about the group can be found on our website . Questions regarding the position should be directed to Prof. Dr. Kjell Jorner by email at kjell.jorner@chem.ethz.ch
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research and its efforts to put new knowledge and innovations directly into practice. The Laboratory of Metal Physics and Technology (LMPT), part of the Department of Materials at ETH Zurich, conducts
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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applications or applications via email will not be considered. Further information about SusTec can be found here . Questions regarding the position should be directed to Siobhan Powell (no applications