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to design, evaluate and implement innovative health and wellbeing interventions. The partnership offers a dynamic and support research environment, with opportunities to collaborate with leading academics
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 3 months ago
of Nottingham to commence in October 2026. Project overview This project investigates how housing inequalities spatially structure wellbeing in cities. It begins from the premise that where we live — and the
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communication. The person should have a PhD/Master/Degree in social sciences/data analytics and have an appreciation of the cultural dynamics in Singapore and the region. He/she needs to be comfortable with
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Number: 31395 Posting Number: S06906P Job Description: Provide assistance in various research activities in Dr. Francesca Filbey's Neuroimaging of Reward Dynamics Laboratory located at UT Dallas' Center
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to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured
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to design, evaluate and implement innovative health and wellbeing interventions. The partnership offers a dynamic and support research environment, with opportunities to collaborate with leading academics
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No. 1 scholarship grant for scientific training activities at INFN Structure of Napoli for the following research topic: “Search for Dark Matter in association with top quarks with the Compact Muon
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No. 1 scholarship grant for scientific training activities at INFN Structure of Napoli for the following research topic: “Development of firmware for the first-level trigger for the muon spectrometer
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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scenarios on human response and injury. Injury biomechanics, involving lab work with human surrogates to study the response of the human body to dynamic loading. Crash data analysis to identify the mechanisms