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, membrane integrity) Develop or adapt image analysis and quantification pipelines with AI support to handle screen-scale data Follow up on screening hits to identify their molecular target or mechanism
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and responsibilities include Optimization of microfluidic and biochemical workflows Development of miniaturized T-cell expansion assays, including feeder cells Preparation of NGS libraries Data analysis
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letter (pdf, up to 2 pages). And in one PDF: A CV with a publication list. A research statement (pdf, up to 3 pages). Contact details for 3 referees. For any further information, please contact: Nate
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reference letters Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information
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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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to combinatorics in that study. Notably, we wish to study how asymptotic data, such as the limit set in the flag manifold, interact with solutions of PDEs of geometric origin, for instance, those of Higgs bundle
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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well as to develop new therapies for vision loss. For more information, please visit iob.ch .
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system encodes information and how that knowledge can be used to help patients, this is the place to do it. In this role, you will develop and lead projects related to the physiology of vision using
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: August 21, 2026 For the full job description, more information about the project, and application instructions, please follow this link. Please indicate in your cover letter which subproject you are