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have a strong background in quantitative methods and are excited to code. You are interested in topics of global poverty and inequality. You have a good knowledge of the statistical software R and/or
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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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100%, Zurich, fixed-term Our research group in the field of Digital Biomarker research (Health Informatics) is looking for a new PhD student starting as soon as possible. The position is based in
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to gain a deeper understanding of how these methods are applied across different domains, as well as the skills needed for interdisciplinary research. If you are proficient in Python and software
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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in collaboration with an industrial implementation partner, who will provide support with hardware and software integration. Job description The position entails duties in three axes: (1) research, (2
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For this research, we are looking for applicants with backgrounds in geochemistry and electrochemistry, or closely related fields, to fill two PhD positions with respective foci on: (1) reactivity
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Stage II CRC patients at high risk of recurrence is crucial for tailored treatment strategies. Current prognostic methods are insufficient, highlighting the need for more reliable biomarkers. This project
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Perform model calibration, parameter screening, and validation Compare simulations to experimental data and prepare high-quality visualizations Profile We welcome applications from candidates with: A PhD in
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, help shape the Forest Studio software suite, and engage with a dynamic, interdisciplinary research team. We value creativity and welcome your own research ideas, encouraging the development