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Field
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worldwide network of collaborators. About you Crucial skills include prior experience working with patients, particularly those with dementia or other cognitive disorders. Desirable skills include experience
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writing manuscripts with data from the multi-year On Thin Ice project. This year-round field-based project combines data across 93 international networked lakes, 23 gradient lakes, and 6 model lakes with
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consolidation and for decision-making study of neural networks that enable memory use of state-of-the-art experimental tools such as psychophysics, electrophysiology and optogenetics in rats collaborative
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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international and multicultural environments; - Experience in organizing events; - Experience in managing social networks and newsletter; - Experience in laboratory work; - Experience or volunteering in
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learning models. The successful candidate will collaborate with other groups in the Section for Catalysis and Organic Chemistry to incorporate these catalysts into solid networks (MOFs), taking advantage
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decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (https://ml.utexas.edu
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for the transition from fossil carbon towards a sustainable net-zero future, as well as growth and sustainability of the UK economy and beyond. https://www.nottingham.ac.uk/news/c-loop-ukri C-Loop is a collaborative
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at one of the universities partnering in the DRYAD project (https://dryad-project.eu ). Work Plan: The candidate's main tasks will involve hydrological and hydrogeological modeling of the study areas
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. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https