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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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professionalising all involved partners (i.e. students, teachers, workplace assessors). Your duties and responsibilities: Develop theoretical and conceptual insights in innovative (formative, programmatic) assessment
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be part of a collaborative and inclusive team of around 35 scientists, where personal growth, professional development, and a strong sense of community are highly valued. You will contribute
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. The candidate will join a lively and highly international team of PhD and Master students working on human demography, and ecology and evolution in wild animals, supported by laboratory and analytical technicians
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from registers and surveys available in the CBS microdata environment. You will explore how crises – such as climate change and the COVID-19 pandemic – interact with the onset and development of chronic
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typically arise in secondary education where boys develop more anti-academic attitudes and behaviours and eventually receive lower grades than girls. Explaining what causes this inequality in attitudes
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for Dutch Universities, Utrecht University has a number of its own arrangements. For example, there are agreements on professional development, leave arrangements and sports. We also give you the opportunity
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in the context of delta adaptation. Your role will be to develop and apply an approach for designing nested adaptive pathways in the physical system linked to the asset management of storm surge
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in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols