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information: Interviews are planned for 16th of March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team led by Prof
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computation, discovery with translation, and science with society and the arts. CeMM discovers and develops technologies to explore human biology with the purpose of defeating disease at its roots. Because
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: For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603 450814 or nbi.recruitment@nbi.ac.uk quoting reference 1006046
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but also in a team you hold a PhD in life sciences (e.g. molecular biology, biochemistry, genomics, computational biology or related areas) you have experience in NGS-based assays and NGS data analysis
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following criteria, you are encouraged to apply. In order of decreasing importance, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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a strong interest in uncovering the regulatory foundations of the cell cycle, DNA replication, chromatin regulation, and genome surveillance in human pathophysiology. The lab integrates CRISPR-based