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Field
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autonomous adaptation to climate induced hazard, provide new evidence of soft and hard limits, and undertake ex-ante and ex-post assessments of adaptation effectiveness; (2) advancing analytical methods
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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; Environmental Policy Analysis; Environmental Geography; and Water and Climate Risk. IVM is part of the Faculty of Science at Vrije Universiteit Amsterdam (www.ivm.vu.nl). This position is based within
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, medical devices and translational research Interest in experimental research and data analysis Good communication skills in English, both written and oral A critical and independent working attitude TU
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, with documented risks to human health and aquatic ecosystems. Existing remediation methods based on adsorption (activated carbon) or membrane filtration effectively remove PFAS from water but do not
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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systematic evidence on where it adds value and where its risks lie, is lacking. In this PhD project you will map current and future GenAI use across the full HTA lifecycle, from horizon scanning
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minimised as an occupational hazard or unfavourable treatment, even when it involves unwanted physical contact that would constitute sexual assault outside the workplace. Legislative responses reflect
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, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter-based metrics. Your work will be
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transportation system which include compression and liquefaction. The impurities will pose a safety and lifetime estimation risk to the system as they are very corrosive. There is a need to expand the knowledge