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human iPSC derived retinal GACR models and perform tailored therapeutic screens with repurposed medicine taken from the parallel SYMPATHIC consortium (Karnebeek and coworkers 2023). The candidate will
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of incidents (including near hit/miss, amongst others) were reported in 2022. Human error is reported to be one of the most common causes of accidents on OSW platforms, including mistakes in judgement, fatigue
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concerns, which can be observed in concerns about surveillance capitalism, instrumentalization of production and consumption, datafication of all domains of human and non-human life etc. We can frame these
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of all domains of human and non-human life etc. We can frame these concerns in terms of the social disruption of the lifeworld – i.e. the meaningful environment of everyday life experience in which we
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learning analytics-based dashboards at the Human-Technology Interaction Group (HTI) within the School of Innovation Sciences. The project Blended learning has become a significant component of the modern
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of challenge, why not join us? We are looking for someone to take on a PhD position focusing on learning analytics-based dashboards at the Human-Technology Interaction Group (HTI) within the School of Innovation
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outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team The principal supervisors will be Professor Dan Lubman AM , Professor Victoria Manning
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Neurosciences, and specifically the Van Dam group is part of the MS centre Amsterdam and seeks applicants for a PhD position in Stem cells and Multiple Sclerosis (MS). Your work will focus on human iPSC-based
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generated to increase our knowledge of human exposure to environmental contaminants and their associations to blood-based biomarkers. The project will include collaboration with the Department of Medical
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-generation sequencing data to understand its relationship with clinical outcomes. Integrating multimodal data: Implement methods to integrate diverse and orthogonal data sources, including genomics