15 postdoc-computational-biomedical-engineering PhD positions at Utrecht University in Netherlands
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another PhD candidate (on question modelling), a postdoc (on the GeoQA reasoning engine), and a technical assistant; evaluate the framework through user-centered scenarios in spatial planning
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deadline: 10 September 2025 Apply now Help shape the future of biomedical innovation at the Ombion Centre for Animal-Free Biomedical Translation (Ombion CPBT). In this role, you will investigate how
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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development, which provides you with an excellent basis for an independent academic career. Your qualities You hold a Master’s degree in biofabrication, biomedical engineering, or a related area. You have
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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lithium-ion battery (BLIB) with fast charge/discharge (1 min) and high energy density. Working with three PhD candidates and one postdoc, you will help synthesise a conductive anode within a bicontinuous
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. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do
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, material scientists, biologists, and engineers. Furthermore, you will co-supervise BSc and MSc students during their internships. Other teaching opportunities are available. You will be part of the Utrecht
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an interdisciplinary, internationally oriented team. Additionally: By the time the position starts, you have obtained an MSc degree in Earth Sciences, Civil Engineering, Environmental Science or a related field. You are
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Technology group led by Gabriele Keller external link . As our research group contains core members of the popular Accelerate and Stan DSLs for machine learning and scientific computing, newly developed