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Field
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). The position is part of the research project ThermRisk: A Personalized Digital Human Model for Predictive Thermal Risk Assessment. ThermRisk is a collaborative project between three faculties at HVL: the Faculty
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will develop innovative methods used to detect emerging pathogens earlier, understand who is most at risk, and translate the complex multi-source data into real-time, evidence-based decisions and
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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concepts, technical knowledge and project outcomes to academic, industry and project stakeholders. Initiative in research, analysis and problem solving, including the ability to contribute to practical
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to strategic decisions, project planning, ethics and governance, risk management and delivery against agreed milestones. Provide senior oversight and methodological support for the qualitative work package
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, and PhD levels in the fields of societal safety, industrial economics, urban planning, risk analysis, as well as customs, goods handling, and border control. Questions about the position Tore Markeset
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social, cultural, and sports clubs. About the Role The Centre for Democratic Resilience is seeking a Postdoctoral Research Fellow in Computational Social Science and Text Analysis to contribute to its
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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perception, science/climate communication, or public engagement research (4) Proficiency in quantitative analysis (R, Stata, or SPSS): factor analysis, ANOVA; SEM (R/lavaan or SPSS AMOS); LCA (R/poLCA, Mplus
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provides such a chance. The position is available from 15th January 2027. Reliably detecting heat stress in time has been always a challenge in cattle barn. Early signs of heat stress can be subtle while