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About the role We’re looking for a brilliant Research Associate to help pioneer the development and commercialisation of a palm oil substitute from yeast, in a collaborative project between the University of Bath and the sustainable biotech start-up the Clean Food Group. You will combine...
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more about working at the John Innes Centre. About the Dodd Group: This project is based in the Department of Cell and Developmental Biology and the Department of Computational and Systems Biology at
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, the successful candidate will be expected to have a Bachelor or Masters in biological science (or equivalent) and experience working in a molecular biology lab. Excellent knowledge of legislation and good practice
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are seeking highly-motivated researchers with a submitted PhD or PhD in molecular biology, genomics, immunology, bioinformatics or a relevant discipline with strong technical expertise in multi-omics approaches
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View All Vacancies Department of Infection Biology Salary: £38,282 to £43,947 per annum, inclusive. Closing Date: Sunday 02 June 2024 Reference: ITD-DIB-2024-11-E The London School of Hygiene
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genetics or biology Desirable: Institute of Animal Technology level 2 Diploma in Laboratory Animal Science and Technology Home Office licence Previous Work Experience Required: Essential: Experience
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: Home Office Licence Further qualification in biology or chemistry Previous Work Experience Required: Essential: Experience of working in a busy environment Desirable: Experience of working with
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synthesis or working with an oligonucleotide synthesizer. Knowledge in bioinformatics. Interdisciplinary interests with an emphasis on chemical biology. Experience in large data set analysis and database
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addition to holding an undergraduate degree in biological sciences, veterinary medicine a related life-science subject. Strong background in microbiology, comparative genomics, and molecular biology with experience
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Biology. Duties and responsibilities Conduct independent research projects focused on generating single-cell transcriptomic dataset for non-bilaterian metazoans. Utilize advanced computational and