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individually, make a real difference. The role The School of Engineering at the University of Surrey is seeking to recruit a full-time Research Fellow in Industrial Biotechnology to work under the leadership
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individually, make a real difference. The role The School of Engineering at the University of Surrey is seeking to recruit a full-time Research Fellow in Industrial Biotechnology to work under the leadership
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
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based fuels is creating exciting new scientific and engineering challenges. Compared with traditional crude oil, bio feedstocks behave very differently during processing, sometimes causing much faster
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BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France | Grenoble, Rhone Alpes | France | 7 days ago
Full-time Offer Starting Date 14 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
different forms of mechanical cell activity – in this case growth/division and motility. For more information about the network and the project, please visit the central webpage (CAFE-BIO ) Your Profile
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Chair. Will also provide administrative support to, BMB, Graduate Program Director Contacts or responds to contacts from high-ranking individuals inside or outside the corporation. May involve unique
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and written communication in English, able to work independently as well as in collaboration with others, and be highly motivated. Meritorious A degree in bioinformatics, computational biology, (bio
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Network “A Coherent Analysis Framework for Emergence in Biological Systems” (CAFE-BIO) on the project “Proliferating active media”, which aims to investigate the interactions between different forms
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ponds of different types and ecological quality, by implementing an integrative approach using conventional, molecular and computational tools to generate a dataset that spans multiple trophic layers