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and the successful applicant will be directly supervised by Dr Thomas Raleigh. The project team also includes Dr Laura Gow (Principal Investigator) and Dr Robin McKenna (Co-Investigator) who are both
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: An outstanding candidate is sought to work on an original research project supported by the National Institutes of Health entitled "Comparative- and Cost-Effectiveness of Population Strategies to Improve Diet and
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plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project team. Identification of the isolated strains using 16s RNA and ITS Conduct the whole
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in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data regarding the production of targeted crops in Africa, work with the project team and valorize data as
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and Content Learning: Addressing Sociolinguistic Diversity in India's primary schools', a project that investigates the role of alternative multilingual assessment tools for underprivileged learners in
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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of manuscripts. The position requires the individual to work with rodent animal models. Job Duties Plans, directs, and conducts research experiments in consultation with the principal investigator. Evaluates and
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
Description: The employee will be a member of Dr. Hye Won Kang's research group, supporting projects through original research, collaboration with other team members, and mentoring students. The employee will
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learning project with applications in bioscience. As part of the project, you will be involved in • Conducting original research in probabilistic machine learning, within the topics mentioned above, focusing