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/ X-ray crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or
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: PhD in neuroscience, cognitive neuroscience, psychology, neuroengineering or a related discipline, with proven experience in neurophysiological data analysis and programming for signal analysis
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activities beyond the project duration. ESSENTIAL REQUIREMENTS: Holder of PhD title (food science, food technology, biotechnology or similar fields) or its equivalent for at least 4 years Fluency in written
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of electrochemical AFM setup Performing in situ electrochemical AFM studies with electroactive MIP films and NPs Specific Requirements 1. PhD degree in chemical or physical sciences, obtained in the year of employment
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the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and
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of Engineering Science, in collaboration with Professor Rafael Perera-Salazar (Nuffield Department of Primary Care Health Sciences, University of Oxford). You should possess a relevant PhD (or near completion*) in
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: Postdoc: Ph.D. in Materials Science, Physics, Chemistry, Mechanical/Electrical Engineering, or related field PhD candidate: Strong Master’s/Diploma degree with very good grades Experience in materials
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of infrastructure; Duration Permanent Eligibility We are searching for the candidate with PhD in computational biology or a related field. Established scientific record in biology Full set of mandatory competences
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research, engineering, and knowledge sharing. Please indicate clearly in your application which position(s) you are applying for. A PhD in chemical engineering, plasma physics, process systems engineering
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). We seek an outstanding, ambitious, and highly motivated candidate with a PhD degree in chemistry (or equivalent), preferably with expertise in physical chemistry, theoretical chemistry or computational