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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models
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group at the Department of Geography, we contribute within the STREAMS (Safe Traffic and Road Evaluation, Analysis and Monitoring System) project to a so-called better Traffic understanding. Our main goal
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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the field of narratology, with particular focus on time loop stories. You have demonstrable expertise in the analysis of audiovisual narratives, particularly TV series and film. You have worked on cultural
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analysis of Biomaterials and active compounds. Translating results into a comprehensive report as well as presentations for relevant stakeholders. Support master thesis students. WHAT WE ARE LOOKING FOR You
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the identification and/or development of suitable characterisation factors with spatial differentiation, particularly to better capture marine impacts. Conducting prospective analysis and scaling-up assessments
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and design freedom for 3D printed concrete elements without crack formation. The (postdoctoral) researcher will closely collaborate with an entrepreneur in residence within the same project and together
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of coated inorganic nanoparticles In vitro assays In vivo analysis WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in chemistry, biomaterials or related You have proven experience with synthesis and
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programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset You have an excellent track record
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– Reducing the Design Fatigue Factor through Exploiting Structural Health Monitoring Data and Extending the Design Load Case Table. Wind turbines are increasingly being controlled dynamically to accommodate