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. A short (half page) description of your research interests, including what part of the CERN scientific programme you are interested in joining. Three letters of recommendation. Recommendation letters
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning with solid-state fermentation (SSF) using filamentous fungi to optimize nutrient profiles in food....
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on Human Factors in Computing Systems, Lancet Digital Health, npj Digital Medicine). You will also be involved in teaching activities.
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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facilitate effective data management, analysis, and visualization for researchers. By acting as an interface between the two domains Research and Informatics, R-IT helps ensure seamless communication and
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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the goal to improve our understanding of the atmospheric cycling of the essential micronutrient selenium (Se) by integrating measurements and a computational atmospheric Se model. Knowing the chemical forms
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highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
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multidisciplinary research program and collaboration network in the area of Culturomics. Promising candidates possess an interdisciplinary profile that combines outstanding microbiological expertise with excellent
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by