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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with the ability to work independently and in collaboration with multidisciplinary
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itself and changes the way it should appear at high photon energies. The details of this process can be explored both analytically and numerically, the latter using simulations of magnetohydrodynamics (MHD
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the following bases of assessment: Documented subject knowledge of relevance to the area of research Analytical skill Other documented knowledge or experience that may be relevant to doctoral studies in
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, such as participant recruitment or data collection, is not required but would be an advantage. All applicants must have strong analytical skills and a proven interest in interdisciplinary and teamwork
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quantum systems, collaborating with top-tier researchers in chemical synthesis, analytical method development, and atomistic simulations. Located in the Zurich Area, the Swiss Federal Laboratories
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design of innovative analytical and computational techniques to analyze,integrate and model multimodal data for the onset and progression of AMD . In doing so,the successful postdoctoral fellow will
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) Integrated Innovation Network (I2N) Defence capabilities TUNRA Hire a graduate Research Institutes and centres NIER HMRI Research Research facilities Central Analytical Facilities Research Research support
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the Department of Electrical Engineering at IIT Kanpur and innovative unsupervised self-structuring AI and spatio-temporal data modelling techniques from the Research Centre for Data Analytics and Cognition, La