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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
annum plus 17% Superannuation Term: Full-time, Continuing Contingent Funded for up to 24 months Working at ANU This is an opportunity to work with a world class University that undertakes cutting edge
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funded by the national project “Rare-earth single atom MAGnets aNchorEd aT oxIde Surfaces as a platform for new low-consumption magnetic dEvices (MAGNETISE)” financed through the national PRIN-2022 Next
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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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details of the post see https://ore.ucc.ie/. Informal enquiries can be made in confidence to Prof. Andy Wheeler, Professor of Geology, School of Biological, Earth & Environmental Sciences, Tel: + 353 (0) 21
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A Research Assistant position is currently available in the Earth Observatory of Singapore (EOS). The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based
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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 22 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