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access to excellent scientific and technical facilities for your work. As part of the research program, you will undertake research stays at the Laboratory for Multifunctional Materials at ETH Zurich
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ETH Zurich, contributing to catalyst synthesis Networking & Exchange : You will participate in (international) conferences and project meetings and actively build your scientific network Work-life
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: https://www.hds-lee.de/admission/openpositions/ Your Profile Mandatory qualifications are: M. Sc. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and
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below and above its Néel temperature. The goal is to disentangle magnetic and structural contributions to electron diffraction data and to compare the results with measurements recorded using X-rays and
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Your Job The successful candidate will have the opportunity to combine prospectively acquired data with existing multimodal datasets and contribute to replication studies, biomarker development
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, robustness, and fairness of LLM-based research indicators. The main use case for assessing the quality of publications is to improve the reliability of literature-derived data in our technology database
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de
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experimental data to the parameterisation and validation of functional-structural plant models Present your results at international conferences and publish them in peer-reviewed scientific journals The
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prediction. In this thesis, you will focus on the quantification of model uncertainty, that arises from limited knowledge and the quantification of data uncertainty, that arises from data-inherent