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the fate and distribution of contaminants in the environment. The researcher will be directly supervised by PI Cara Santelli, who has a diverse lab that is committed to inclusivity and creating a sense of
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive
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a faculty member or researcher. External funding is currently available for one year. Typical hiring range for this soft-money funded position is $50,000 to $60,000 commensurate with qualifications
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on offer through all charitable routes, and uptake of these, and food distributions across West and South Yorkshire. Overall responsibility for data preparation, data analysis, and reporting of findings
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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of Position Faculty Position Time Status Full-Time Tenure Track Status Non-Tenure Track Required Education Required education is an MSN and/or a DNP, EdD or PhD. Required Related Experience Required education
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with
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Case Western Reserve University is committed to providing a transparent estimate of the salary for this position at the time of its posting. The starting wage rate is $19.41 per hour, depending
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology