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Field
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interface designs that enable real-time, efficient processing in resource-constrained environments. Students will explore innovations in hardware-software integration, emphasizing energy efficiency
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of the student’s project and allow them to network. The partners will also be able to offer the PhD student the opportunity of placements, during which the student can gain major insights. This would help them
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers
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making strategic decisions Work alongside, and liaise with, collaborative partners within the INSTINCT-MB network institutions Ensure intellectual rigour and adherence to ethical standards in the research
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with data visualization (graphs, GIS maps, figures). Proficiency with GIS software and spatial data analysis is highly desirable. Strong writing skills, including the ability to contribute to manuscripts
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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Excellent communication and interpersonal skills, with the ability to work both collaboratively and independently Attention to detail and dependability Knowledge of statistical analysis software (e.g., SPSS
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/ ) Funding: The Marie Sklodowska-Curie Doctoral Network “ENDAMR" funds the PhD position at the level of 46,000$/year. Benefits The fellowship includes the following benefits: Monthly living allowance: monthly