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to answer different kinds of questions. This PhD position focuses on understanding, interpreting, parsing and formalising geo-analytical questions. You will explore hybrid (symbolic and sub-symbolic) AI
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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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Mining in Business, Ethical Issues on Business Analytics, Operations Research, Optimization Methods. Job Requirement Candidates should have a PhD degree in a related discipline, preferably in areas related
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ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical skills, and a background in climate and/or energy transition multidisciplinary research
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supervises data analytic activities of more junior statisticians and/or leads complex projects. Study Design: Trains, mentors and oversees the design activities of more junior statistical staff. Acts as a
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will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical
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analysis. You are expected to have strong analytical skills and prior experience with relevant types of data, including registry linkage, data management, and analysis - preferably in Stata – as existing
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; field-theoretic techniques in topological phases of matter; and quantum information theory as it relates to condensed matter problems. Candidates with either (or both) analytical and numerical expertise
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employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a duration of normally four years