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Postdoctoral Associate - Birds of the World, Cornell Lab of Ornithology Postdoctoral Associate - Birds of the World Cornell Lab of Ornithology College of Agriculture and Life Sciences Cornell
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Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a passionate researcher sustainable land management with practical experience in (preferably
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Your job We are looking for a passionate researcher sustainable land management with practical experience in (preferably) Africa, for our “research for development” projects in (mainly) French
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on the topic of "Geodynamic modelling of the Virgin Islands as a proxy for early Earth geodynamics". The successful candidate will become an employee of Durham University. They will join the UKRI NERC-funded
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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
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: Ecological Effects of Indigenous Land Tenure and Governance (Zavaleta Lab) Position overview Position title: EEB Postdoc: Ecological Effects of Indigenous Land Tenure and Governance (Zavaleta Lab) Salary range
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 7 hours ago
to apply his/her statistical skills to solve a real-world question raised by staff at CDRH, which may have significant impact to the medical device field in the US as well as world-wide. He/she would
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specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track
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Working Title Research Assistant / Sch of Earth Env & Marine Sci Location Edinburg, Texas College College of Sciences Department College of Sciences / School of Earth Environmental and Marine Sciences
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specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track