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Yale School of Medicine - The Center for Neuroethology and Physiological Plasticity | New Haven, Connecticut | United States | 4 days ago
The Center for Neuroethology and Physiological Plasticity (https://medicine.yale.edu/neuroethology-physiological-plasticity/ ) and the Department of Cellular and Molecular Physiology (https
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This appointment will support current research into paludiculture at HAU, with specific reference to greenhouse gas emissions (carbon footprints) and wider environmental metrics on paludiculture and
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brain science, and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and
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activities, units and/or courses that reflect a command of the field and is founded on research-based pedagogical practices. Keep abreast of current discipline theory and practice and apply these in teaching
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Location SAINT LOUIS, MO 63110 Scheduled Hours 40 Position Summary The ElTanbouly Lab will primarily use in vivo mouse models, in vitro primary cell culture, flow cytometry, and multi-omic
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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technology and professional development model to support teachers and demonstrate how teachers’ language inputs in birth-to-3 child care settings lead to positive child outcomes. This work will generate
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timelines, meeting training requirements, and preparing programs for launch. Providing consultation to partners on implementation approaches aligned with the ECHO model. Provides ongoing consultation and
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Award . Role This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https://aria.org.uk
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications