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Field
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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some important questions. Did fungi acquire this ability from bacteria by gene transfer, or have fungi evolved mechanisms to degrade DMSP? Is the interaction of fungi with marine plants symbiotic
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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evolving systems of evaluation influence recognition, diffusion, and legitimacy. The focus is on advancing theory through conceptual reasoning, analytical approaches, and engagement with novel forms of data
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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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master's or diploma degree Fundamental understanding of mixed-signal circuit architecture Experience in deep learning, hardware development, or memory technology is a plus Strong analytical and solution
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, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in the global top
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dynamic, interdisciplinary, and international team Successful candidate should have prior experience in at least one of those areas: analytical methods (e.g. pro- filometry, SEM), machine learning and/or
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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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an advantage. A good command of analytical expertise and data science is beneficial. Experience with sustainability assessment, planetary boundaries, and scenario modeling is considered an advantage. Strong