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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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for machine learning and scientific computing, newly developed techniques could quickly have a large impact and reach a large audience of end users. Beyond Utrecht University, we anticipate collaborating with
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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developed techniques could quickly have a large impact and reach a large audience of end users. Beyond Utrecht University, we anticipate collaborating with international partners including the Center
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. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development
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development of peer-reviewed publications; teach (~10% of your work time) in the Bachelor’s or Master’s programmes Pharmacy, College of Pharmaceutical Sciences, or Drug Innovation. This position offers a unique
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this role, you are part of the Applied Economics Section of the Utrecht University School of Economics. We offer courses within the broad Bachelor’s programme Economics & Business Economics, a double
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . Selection process As Utrecht
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emulation can improve the design, analysis, and interpretability of observational studies for clinical and regulatory decision-making. Your job In this PhD project, you will develop, evaluate, and apply
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of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development , various types of leave, and options