508 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" Fellowship positions in United Kingdom
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- bermet.ishenbekova@ucentralasia.org
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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& hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy
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Funding team. You will be experienced in working across multiple teams, meeting tight deadlines, and taking the initiative to support day-to-day tasks effectively. You should have experience with Microsoft
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including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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, consisting of a helium-filled aerodynamic kite tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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groundbreaking primary dataset comprising multiple linked surveys as part of the Observatory’s longitudinal cohort studies, and through the analysis of administrative datasets (e.g. the National Pupil Database