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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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-supervision of Dr. Claudia Fichtel. The project is part of a broader collaborative effort involving Prof. Peter Kappeler (DPZ), Dr. Ariana Strandburg-Peshkin (Max Planck Institute of Animal Behavior) and Prof
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of Profs. Jack Middelburg and Henk Dijkstra , you will elucidate ocean alkalinity dynamics and develop new and improve existing models for ocean carbon cycling. The initial focus is on the alkalinity
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happy to discuss this opportunity via email s.calnan@lboro.ac.uk . Supervisors: Name of primary supervisor: Prof Sonya Calnan Name(s) of secondary supervisor: Dr Sarah Dunnett Entry requirements: Subject
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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evergreen and most herbaceous plants so the understanding of this diversification is crucial. Working with a team from Spain (led by Prof. Mario Martínez Azorín, Alicante) and the UK you will generate DNA