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capabilities. Host/Mentor and Research Plan: The applicant must be accepted as a mentee by a VinUni scientist who will oversee the research. Preliminary research plan developed in consultation with a VinUni
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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; develop new leaders in the study of inequality who can publish at the highest level, reach the widest audience, and impact policy; and deepen teaching expertise on the subject of inequality. The two-year
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scientists and software engineers. The team focuses on the following LISA deliverables agreed upon with the Norwegian Space Agency and ESA: Deliverable 1: Deployment and development of Norway’s computational
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is interested in understanding the neural and algorithmic basis of sensory-guided behaviors in terrestrial animals. We have developed behavioral tasks in mice using stimuli and situations
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person per laboratory may apply for funding, per funding round, per journal. Deadline Month: March, May, August, and October Description: The Company of Biologists' journals – Development, Journal of Cell
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environmental mass spectrometry and/or environmental microbiology, to join the QAEHS Environmental Toxicology Theme led by Professor Kevin Thomas. This team, working alongside industry partners, works to develop
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/carers leave per year Cash out annual leave Up to 12 months paid parental leave A range of flexible working options Attractive options for salary packaging Ongoing professional development support
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
under abbreviated new drug applications (ANDAs) and NDAs. The project will identify and develop in vitro, in vivo, or in silico techniques that may be capable of determining how various complexity factors