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partial reprogramming techniques to reverse age-related decline in health, focusing on improving healthspan and organ function in aging models. Key recent publications from Dr. Sahu’s previous work include
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind
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implementing inversion algorithms, including a focus on the integration of spatially constrained regularization schemes. Collaborating with forward modeling experts to ensure seamless integration with a recently
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applicant must have professional proficiency in English (written and spoken). Desirable qualifications: Prior experience in working with economic models of migration, residential choice models, and/or spatial