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responsible for: (i) designing empirical protocols to collect behavioural data from children, adults, and non-human primates; (ii) conducting experiments and collecting data from these populations, in school
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description National Institute of Research and Innovation (NIRI) - the leading
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 19 hours ago
the sharing of top talent across the organization. Key responsibilities include designing and facilitating training on hiring best practices, developing scalable pipelines for key roles, and building
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE E TECNOLOGIE AGRO-ALIMENTARI | Italy | 11 days ago
Description The work plan will be structured into the following phases: • analysis of the state of the art on the sustainable management of water resources in irrigation districts, with particular reference
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seeking a talented and collaborative Staff Interior Designer to support the planning, design, and implementation of interior environments across our hospitals, clinics, research, educational, and
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Graphic Designers Bookmark this Posting Print Preview | Apply for this Job Please see Special
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Lead all logistics, so every professional development effort - days, retreats, institutes, school visits - run without a hitch. Contribute to proposal and program design for our Fellowship and consulting
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located in the western part of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), one of the world’s fastest-growing hubs for technology and innovation. UM is ranked 145th in the Times Higher Education
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Institute for health technology research and innovation. For more information, please see below: https://www.se.manchester.ac.uk/cem/ https://www.meri.manchester.ac.uk/ https://www.tyndall.manchester.ac.uk
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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of