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Field
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) research fellowship, under the Programme Contract concluded with the Portuguese Foundation for Science and Technology (FCT), effective from 1 January 2021, reference No. LA/P/0095/2020, within the framework
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
knowledge in at least one of the following areas will be highly regarded: the technology of large language models, natural language and text processing, qualitative and quantitative methods for evaluating
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: Natural scientist or engineer wanting to make a difference in sustainable business practice The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by
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2030 and by National Funds through the FCT - Fundacao para a Ciencia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology). 1. GRANT DESCRIPTION Type of grant: Research Grant (BI
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operations and emergency response. Develop a foundational understanding of how to respectfully engage and collaborate with Tribal Nations Mentor(s): The mentor for this opportunity is LaVedia Smith (zpn3
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datasets to advance transporter discovery and engineering for domestic CMM recovery. CMMs, including cobalt, nickel, rare earth elements, zinc, manganese, and copper, are essential for modern technologies
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, to explore and pose solutions, that cross the traditional interdisciplinary and global boundaries. We have evolved from our foundational strength in systems thinking, reaching beyond traditional engineering
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transporter discovery and engineering for domestic CMM recovery. CMMs, including cobalt, nickel, rare earth elements, zinc, manganese, and copper, are essential for modern technologies and clean energy
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• A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree, related