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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning
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, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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by anxiety, depression, eating disorders and other mental health conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and statistical programming in Stata/R/etc; excellent oral and
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description will be developed in cooperation with the supervisor. Contact For further information about the position, please contact: Head of Department Stig Mathisen Phone: +47 476 00 220 Email: stig.mathisen
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of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets