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the MovAnt research group (Prof. Sebastiaan Dalle), the Laboratory of Experimental Medicine and Pediatrics (Prof. Annelies Van Eyck) and the laboratory of Physiopharmacology (Prof. Pieter-Jan Guns). This PhD
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Position in Synthetic Biology and Metabolic Engineering (m/w/d) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes Link
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Funder: EPSRC and Rolls-Royce plcDuration: 3.5 years Supervisors: Prof. Nick Jones & Prof. Howard Stone Stipend: £20,780 + £5,500 industry top-up per annum Fees: Home rate; international applicants
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experience and conceptual background in cellular immunology. Interest or experience in genetics and basic bioinformatics. Experience in tissue culture. To apply, please submit the following documents to Prof
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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research project at the interface of polymer chemistry, materials science, and molecular biology. Key tasks include: Designing and synthesizing hemoglobin-loaded polymeric nanocarriers Functionalizing them
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The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
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At the Technical Faculty of IT and Design, Department of Electronic Systems, one or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical