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, their motivation for applying for this role, and long-term career objectives. Applications should be sent to h.d.devalla@amsterdamumc.nl . Anticipated start date is early 2026. LanguagesENGLISHLevelExcellent
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medicine, health sciences, epidemiology, public health, social or life-sciences. You have an excellent track record in non-communicable diseases in particular cardiovascular diseases, implementation sciences
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addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in the respective field; you are able to work independently as well as collaboratively in a team
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consortium. You will: develop and validate a sensitive and objective online measure of misophonic severity based on sound-evoked pupil dilation, obtained via webcam; advance misophonic characterization by
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meetings; and collaborate with both scientific and non-scientific partners, including our lived experience consortium. You will: develop and validate a sensitive and objective online measure of misophonic
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energy harvesting in urban settings. The primary objective is to develop a high-fidelity CFD–machine learning (CFD–ML) framework capable of efficiently analyzing and optimizing rooftop aerodynamic duct
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collaborate with microscopy scientists on data aquisition questions. We’re looking for someone with excellent software development and object-oriented programming skills, ideally with some experience in
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for follow-up projects and career development. This position offers the opportunity to understand how blood biomarkers and brain imaging can predict and track the impact of lifestyle on Alzheimer’s disease
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participatory workshops where citizens and decision-makers experience and evaluate different urban scenarios in VR. Collect and process data from these sessions, combining objective indicators (e.g., space use
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are large-scale dynamical systems which are vulnerable to critical events, such as extreme weather, congestion, local voltage problems, or (cyber) attacks. Your primary objective is to develop resource-aware