302 Education-"https:"-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions in Switzerland
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interpret experimental data to develop mechanistic understanding Contribute to the development of new concepts for electrolyte-controlled electrocatalysis Present your work at international conferences and
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of thought, background and experience creates better research. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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. Temurkhan Ayupov. IOB combines basic and clinical research to advance the understanding of vision and its diseases and to develop new therapies for vision loss. We offer an environment where your expertise
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, experience and areas in which they would like to develop further expertise. Job description As a doctoral researcher, you will develop a dissertation in applied macroeconomics, public finance and/or political
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collaboratively in a research-focused environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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track record of open-source contributions. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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. We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe. The team counts more than a dozen full-time
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. This project aims to identify novel tumor-reactive T-cell receptors (TCRs) that can be translated into next-generation adoptive T-cell therapies. The successful candidate will develop patient-derived tumor
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or develop novel techniques that combine spectroscopy and transport measurements to study novel condensed matter phenomena. The successful candidate must have an outstanding research background in experimental
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discourse and reduce hate speech We work together with online newspapers and use social media data Our research employs advanced statistical methods for causal inference and we develop state-of-the-art