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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as
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integration. Provide expert-level technical and research support to the Architectural Engineering Group. Contribute to ongoing research projects, funding applications, and spinout activities, including
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models
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of others, providing expert advice and guidance. Skills, Experience & Qualifications Needed A first degree in physical / engineering /architecture and a PhD in pollution and/health. Experience in sensors
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for this Research Fellowship will have a strong background in a relevant discipline, including but not limited to anthropology, sociology, urban studies, architecture, history, environment and ecology, science and
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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to work on Liaise with co-I from NetaTech and Tohoku University to apply the in-house developed light conversion film on the architectural design and system used for the UmFm. Taking care of the day to day
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subjects and in the following Arts/Humanities disciplines: Anthropology; Architecture; Modern and Medieval Languages (French, German, Italian, Spanish, Russian, Portuguese); Classics; Education; History