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focused on intergroup relations and/or reducing conspiratorial beliefs; - experience with longitudinal analysis (RI-CLPM); - logistical support of research; - experience with designing interventions
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level and its emissions to the network level and the aggregated emissions in an entire area, or the impact on the logistics chain. For validating the digital twin, real-world data sources (AIS data
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to the network level and the aggregated emissions in an entire area, or the impact on the logistics chain. For validating the digital twin, real-world data sources (AIS data, hydrodynamic data, infrastructure data
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collaboration and innovation. Position Requirements This level of knowledge is typically achieved through a formal education in Statistics, Machine Learning, Computer Science, Logistics/Supply Chain, or a related
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position is at the Department of Business Analytics and Decisions in the work group Production and Logistics. The Department of Business Analytics and Decisions is part of the Faculty of Business, Economics
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. The successful candidate will contribute to Argonne’s industrial capacity planning, logistics optimization, and supply chain analysis models and apply these tools to support high-impact research on resilient
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models of feedstock availability, logistics optimisation, and circular resource flows across the UK. In parallel, the role will contribute to economic development work within the Supergen Bioenergy Impact
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research products including scientific publications and policy briefs. Support overall planning and logistics of the team to develop and gain leadership skills. This includes assisting with meeting
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organizing and launching research activities. Contribute to general laboratory management and logistics. Document the standard operating procedures. Strong English communication skills, both verbal and written
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. Activities will include: Coordinating project logistics and scheduling Conducting spatial analysis of wildfire-impacted areas Developing a building stock database for selected study areas Co-developing GT