100 experiment-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
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- University of Twente
- University of Twente (UT)
- Wageningen University & Research
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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, preferably applied in prior research or professional work: Cultural Historical Activity Theory, epistemic cognition, epistemology, scientific reasoning, assessment, or uncertainty in science. Experience using
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that diversity and internationalisation contribute to the quality of education, research and our services. Therefore, we are always searching for people whose backgrounds and experience contribute to the diversity
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existing communities, NGOs, and local entrepreneurs active in and around the CARDIMED DEMO sites into a "community of communities" — a trans-local metanetwork for sharing knowledge and experience on NBS
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approximately 650 staff address social questions and challenges that people experience in daily life. Our core focus is on individual and societal resilience and how to strengthen it. We focus on current themes
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in urban design, urban planning, transportation/mobility studies, geography, environmental psychology, urban data science, or a related field. Experience with quantitative and qualitative monitoring
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presentations. Contributing to scientific publications. This position is primarily intended for a recent MSc graduate who would like to gain experience in scientific research. As a Junior Researcher, you will
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experimental research and have hands-on experience in molecular biology, genetics and/or genome engineering; have demonstrated creativity and independence in experimental research and are keen to develop and
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closely related discipline. Strong background in modeling and simulation of thermal/energy systems, preferably including PV/T or hybrid solar systems. Hands-on experience with thin-film deposition
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bring We are looking for a candidate with expertise or experience with one or more of the following topics: machine learning for spatio-temporal data, causal machine learning (casual discovery and causal