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Job Description Do you want to design the microbial foods of the future? You will use metabolic engineering, advanced analytics, machine learning, and fermentation technologies to create novel, well
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Stanford University Department of Bioengineering | Stanford, California | United States | 24 days ago
after the application is submitted. Candidates should apply online at: https://facultypositions.stanford.edu/jobs/search The Bioengineering Department, School of Engineering, and Stanford University
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innovation pipeline, from metabolic tools and design, strain engineering, process design, fermentation, downstream processing, multi-omics, techno-economic validation, and business development. We aim to
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ecosystem of research projects establishing an integrated European ecosystem for gas precision fermentation. The position connects AIR2FOOD's CO₂-to-food demonstrators with BRIGHT's broader BioSolutions
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familiarity with secondary-metabolite biosynthesis and biosynthetic gene cluster analysis have experience in fermentation and/or bioprocess development be able to work both independently and as part of a large
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(NLR) provides analytical chemistry support to all research and development groups within the BEST directorate at NLR. To learn more about the research within this directorate, click here: https
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receive tenure at that stage. https://sx.nagaokaut.ac.jp/research-units/ [Work content and job description] [Research Fields] Applicants are invited internationally for one position in the following
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Washington State University | 2 months ago
process and understanding wine-making regulatory requirements, including all aspects of harvest, fermentation, cellar work, and wine-making chemistry analysis. Bilingual in English/Spanish. Position
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experience in microbial physiology and fermentation processes You have demonstrated programming skills You have excellent communication skills in English, both written and spoken. It is an advantage
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our team? What will you do? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation