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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication
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Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive once they are widespread. A key
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network analysis Experience with omics data analysis Our offer A highly interdisciplinary and supportive environment with a cutting-edge research project Support for further career development A strong
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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should have an exceptional academic record and a robust mathematical foundation. Candidates are also expected to have strong coding and implementation skills, with the ability to run large-scale
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Contact City Zurich Website http://www.lifescience-graduateschool.ch/ Street Winterthurerstrasse 190 Postal Code 8057 E-Mail gradschool@lifescience.uzh.ch STATUS: EXPIRED X (formerly Twitter) Facebook
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to receiving your online application by 15 September 2025, including the following documents: CV Academic transcripts Cover letter (including motivation and earliest possible start date) Relevant code samples
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publications. We reflect on our work and constantly improve it. We believe that the world can be improved by publishing the work openly. We do not just mean results, we share data, code, and designs under
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constructively handle conflicts. You understand Switzerland’s political structures, legislative processes and cultural diversity. You have a strong network both within the scientific community and outside of it