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Field
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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communication, creativity, and networking, as well as meeting facilitation. Postdoctoral research fellows will also assist with academic teaching and gain mentoring experience by supporting research methods coursework and
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, education, and policy analysis on international and Asia Pacific politics, security, diplomacy, and strategic affairs. The School comprises a number of vibrant, interdisciplinary, intellectual communities
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advanced modelling capability for large-scale data centre energy demand. Strengthen grid power flow analysis in collaboration with the Energy Flexibility team. About CSIRO As Australia's national science
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 19 days ago
immunogenicity data from FDA internal databases Develop a population model with these data using a nonlinear mixed effect modeling approach and perform sensitivity analysis Evaluate the relationship between
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design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks, and engaging with academic and industrial
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The successful candidate will join a global network of Simons Postdoctoral Fellows in Strong Gravity and Black Holes that are part of the Simons-BHSG. This new, multidisciplinary and multinational collaboration
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networking, as well as meeting facilitation. Postdoctoral research fellows will also assist with academic teaching and gain mentoring experience by supporting research methods coursework and providing research
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, including data preprocessing, feature engineering, and preparation of datasets for robust model training and validation. Experience with computational and statistical analysis in Python and R. Familiarity