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to work on the astrophysics of transients. This will include research related to searches for r-process element production in two different astrophysical sites: 1) kilonovae produced by neutron star mergers
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The job details are shown below. For further information click on the link for the job description. Would you like to be a postdoctoral research fellow on the NIHR evaluation of new treatment models
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reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine-checked
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. Understanding what variation persists, how populations evolve, and why responses differ among populations is important both for explaining diversity in nature and for predicting the evolutionary consequences
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to interpret mathematically different classes of AI models, and which we believe can be used in manufacturing contexts. The outcome of this work will be a validated compilation of quantitative information
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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interested in understanding cell-cycle-dependent regulation of cell polarity using the fission yeast, Schizosaccharomyces pombe as a model system. Cell shape establishment and maintenance are critical to cell
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). DOI: https://doi.org/10.54499/DUT/0007/2022
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well as differences in injury outcomes across these areas. The NIH/NICHD-funded T32 Firearm Safety Among Children and Teens (FACTS): Multi-Disciplinary Research Training Program aims to address the critical need