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reconstruct the structural models, with an emphasis on picking and combining the right techniques, as well as quantifying the uniqueness of information obtained. Position Overview: You will develop an in-house
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Apply now Assistant Professor in Computational Archaeology The Faculty of Archaeology, Leiden University is seeking to fill a position for a full time (1.0 FTE), permanent Assistant Professor in
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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
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Exploration Programmes is a programme directorate within the ESA matrix structure. Through a partnership between humans and robots, D/HRE is dedicated to exploring destinations in space where humans are already
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research is embedded in the institute’s research programme and you will be encouraged to develop interdisciplinary projects and acquire external research funding. Your key tasks are: Teach, improve and
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or operational questions Creating Power BI reports and dashboards Using DAX in Power BI for calculations and insights Working with existing data models and learning to improve them Being actively involved in
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects