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symbiotic efficiency. As a key contributor to the project, the successful candidate will design, conduct, and analyse experiments focused on chickpea phenology, genomic variation, and symbiotic nitrogen
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, science/technology policy, innovation studies, management, education research, or a closely related discipline). Documented experience managing EU-funded projects for at least 3 years, including hands
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and downstream signaling pathway components. The candidate is expected to be able to work independently and to supervise students in the group. Experience with protein purification, bacterial and insect
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candidate should have experience in applied cell biology and mammary gland physiology in dairy cattle. Furthermore, the candidate must have experience in designing and conducting in vitro cell biology studies
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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and/or language skills Hands-on skills and programming experience Who we are The robot design and control team led by Xuping Zhang is dedicated to advancing robotic interaction and manipulation, with a
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cytokines and acute phase reactants. A solid background in assessing the bioavailability of different sources of vitamin D. Demonstrated ability to conduct independent research within this area, experience in
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inspectors in EU member states. Your profile We are looking for a candidate who: Holds a PhD or equivalent academic qualifications Has research experience in monitoring animal welfare, health or production
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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protein engineering, characterization of protein interactions by various methods, de novo design of protein binders, integrative structural biology using NMR, SAXS and/or single molecule FRET. Your profile