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curious and motivated to make an original contribution to academic debate through your research. Additional Information Benefits We offer you an internationally oriented and varied job in an enthusiastic
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more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem
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Postdoctoral researcher MAKEBELIEF: Imagineering Religion and Religious Heritage in China - Meertens
projects and a shared office space and can choose to work part of their time at home. For more information Please contact: prof. Dr. Ernst van den Hemel, principal investigator of MAKEBELIEF. Website
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the European Research Council (ERC). The principal investigator is Assistant Professor Dr. Anna Zhelnina. The research team will consist of the principal investigator, a PhD candidate, and two post-doctoral
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of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional
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at Bachelor’s or Master’s level. You will also supervise individual Bachelor's, Master's and PhD projects. Where to apply Website https://www.academictransfer.com/en/jobs/360077/assistant-professor-large-scale
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research agenda and pipeline Experience in, and passion for, teaching in bachelor and master programs Interest in collaboration with industry partners and societal impact; experience with executive teaching
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: you will divide your time in equal shares between teaching GISc at bachelor and master levels, and advancing research about the integration of statistical movement models with predictive simulation
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procurement, development and verification processes Knowledge of industrial cost and schedule aspects Behavioural competencies Education A master's degree in engineering or a related field is required
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, spatiotemporal Earth systems. Your primary focus will be time-series causal attribution: learning how to answer retrospective counterfactual questions to isolate the exact fraction of crop failure caused by