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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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developmental and neurotoxicology. Faculty members have multiple collaborations with scientists across the university and with academic, government, and industrial scientists outside the university
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data and inform the experimental design of agrivoltaic systems in multiple states in India. We are looking for a candidate who is eager to co-develop the project’s specific research questions
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an interest in working at the intersection of environmental epidemiology, multi-omics, and maternal and child health! This individual will have the opportunity to work with data from multiple cohorts
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reduce nutrient export. The project focuses on four key NBS types (hedgerows, riparian zones, ponds, and wetlands) which support biodiversity and provide multiple ecosystem services. NAT-AGRI seeks
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disorders (i.e., Fragile X Syndrome). Taking advantage of multiple state-of-the-art techniques (e.g. multiphoton in vivo imaging, fiber photometry, EEG/EMG recordings, chemogenetic manipulation, and gene
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reduce nutrient export. The project focuses on four key NBS types (hedgerows, riparian zones, ponds, and wetlands) which support biodiversity and provide multiple ecosystem services. NAT-AGRI seeks
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qualifications: • Strong background in modelling, including spatial and temporal/dynamic modelling, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams
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models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not earlier