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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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focused on the discovery and development of advanced materials for energy storage applications. Based within Applied Chemistry and Environmental Science in the School of Science at RMIT University, the role
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! ESRIC is conducting activities in three main areas: Research and testing facilities, Business support and incubation, and Community management. The primary objective of ESRIC is to research, develop and
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with focus on archaeometallurgy. MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions of the senior employee. Work in a research team of
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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opportunities for training, skills development and professional growth. As a partner of the Dutch-Flemish postgraduate school Experimental Psychopathology (EPP) (https://epp-research.eu/ ), our research group
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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Robotics Centre (MRC) at The Chinese University of Hong Kong (CUHK). The successful candidate will contribute to the development of an advanced telesurgery platform built on a novel surgical system. This
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transformation, innovation, energy and sustainability, development economics and economic demography, as well as financial history, education, and labour markets. More information is available on the department’s
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of large-scale administrative data, among other approaches. This position will include a variety of tasks that provide preparation for graduate school, such as analyzing data, developing statistical models