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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design and shape the future of work in the built environment with AI. Join the NWO-funded
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infections and vaccination strategies in farm and laboratory animals; design immunological study plans (e.g. T cell phenotyping, intracellular cytokine staining, immune correlates of protection) and translate
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to build a strong interdisciplinary research profile. What are you going to do Work with the project team and external collaborators to develop theory-driven, societally relevant research; Design and run lab
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based at IVM and collaborate with other researchers in the USA, Germany and the UK who will be recruited for this project. Your main tasks are to: Design and apply theories from the fields of behavioural
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
School of Health Professions Education (SHE). Together with colleagues from FHML, MUMC+, and the MUMC+ Quality, Innovation and Research expertise unit, you will work in an interdisciplinary network
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bridges: half-joint (dapped-end) connections. Job description Half-joint (dapped-end) connections are a common design feature in concrete bridges worldwide. However, they are inherently vulnerable
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work on the following: Design of an efficient multi-level data acquisition, transport and synchronization digital infrastructure focusing particularly on overall phase coherent operation of the overall
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them into actionable strategies for policymakers, industry, and educational institutions. A key innovation is the development of a scenario-based serious game that supports future-oriented dialogue and
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with future challenges? Would you like to develop inspirational, integrated long term designs that are thoroughly tested and are co-created with societal partners? Then you could be the ideal PhD
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in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, data collection, data analysis, report writing). Hands-on experience with experimental software (e.g