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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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training to develop their knowledge and skills in epidemiology, population data science, such as data manipulation, modelling, and visualization, and information governance. The student will have the
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understanding and development of innovation in the areas of music and performing arts, visual arts, digital arts, and cultural heritage. The successful candidate will undertake original research analysing
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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5 Feb 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Fine arts Arts » Visual arts Cultural studies » European studies Researcher Profile First Stage
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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research by: 🐟 Developing a smad3 knockout zebrafish model, 🔬 Optimizing in vivo visualization of aortic enlargement and molecular dysfunction, 💊 Developing a pathogenic signalling-based drug screening
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. Direct visualization of crystal nucleation, growth, and phase transformations within porous materials will reveal mechanisms that thermodynamic models cannot capture. 2) Experimental datasets and