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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
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(https://www.polito.it/en/education/phd-programmes-and-postgraduate-school ) Desired skills: Knowledge in EcoDesign, climate sciences and life-cycle assessments Project management Knowledge of the host
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dataset construction. Applicants will: hold a PhD in a relevant discipline such as epidemiology, medical statistics, public health, data science, or similar, or equivalent qualifications; have extensive
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the disproportionate impacts of climate change on health and well-being in Brazilian favela urban communities by developing innovative approaches to urban adaptation that combine data analytics and participatory methods
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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Space Agency (RECCAP2, TRAC3E), and the ENSURE UEXE-CUHK joint centre (https://www.exeter.ac.uk/global/cuhkpartnership/). This fully funded PhD project is suited to candidates with a related research
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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chemistry, sustainable chemistry, and organic chemistry. PhD programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic chemistry