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for a researcher interested in parasite biology for a wet-lab based role. Applicants should have (or be close to completing) a PhD in microbiology, biochemistry, molecular cell biology or a related field
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Your tasks You will apply AI strategies to learn the regulatory syntax encoded by
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into pilot-scale production processes. Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in Material Science, Physics, Chemistry, or a related field. Experience
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will be educated to PhD level with relevant experience in molecular plant biology and evolution and will work closely with other group members to assist them with gene functional characterisation
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extinction of learned fear and avoidance’. This multi-disciplinary project will combine in vivo heart rate monitoring and optogenetics with behavioural testing in rats to (1) characterise the relationship
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability
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the expertise of the candidates PhD advisor, ensuring advancement of independent scholarship Present research findings at 1 to 2 national/international conferences annually Securing at least 1 major grant
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efforts relevant to wireless technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering