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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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of ArboKlim is to develop scientifically robust indicators and practical tools that support risk assessment, vegetation management, and the long-term resilience of culturally and socially important green spaces
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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. The goal is to better understand the main drivers behind the personality cult emerging around Xi Jinping and how it has developed over time, possibly in comparison with other, previous Chinese leaders
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in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including researchers, clinicians, and
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Investigator is committed to supporting the candidate’s career development and will work with the candidate to develop an individualized mentoring plan. Functional supervision may be exercised over other
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning
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with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in