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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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the impacts of extreme heat exposure on learning and decision-making, as relevant to mental health. This is a full-time role, based in Central Cambridge. The primary function of this post is to undertake
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/or QGIS) Very good English language skills, both written and spoken Basic knowledge of the German language or the willingness to acquire it for the purpose of knowledge transfer Openness, creativity
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic
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to work independently and in a team; eager to learn and to develop new (academic) skills; organized, flexible, and have attention to detail. What else do we offer you The position concerns temporary
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perform both empirical and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in
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organotypic cell cultures is advantageous, but most importantly you should have a strong motivation to learn new methods, contribute ideas, and possess the ability to conduct your research independently while
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with