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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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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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/ motivational decision-making paradigms and statistical analysis using mixed modelling in R. What we offer you We will give you a temporary employment contract of 6 months. Your salary within a maximum of salary
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exchange. In addition, you support the realization of innovation ecosystems that can create sustainability-oriented value by co-creating viable business models with ecosystem partners, within and outside
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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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, 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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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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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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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