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Field
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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, the web AI, and politics. For this position, we seek to develop the análisis of web and social media data using AI methods, as well as investigating AI models themselves. We are looking for candidates with
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in subcluster management, research data management, conduct independent research, and prepare third-party funding proposals. Required qualification: Eligible candidates must hold an outstanding PhD in
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candidates with backgrounds in driver behavior modeling, driving simulation, connected and automated vehicles, spatial data analysis, or transportation safety are particularly encouraged to apply
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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information about the institute can be found at https://www.ifae.es . Contact people for this position: Oriol Pujolas (pujolas@ifae.es) and Andrea Wulzer (awulzer@ifae.es) About IFAE The Institut de Física
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Address Tucson, AZ USA Position Highlights The Department of Medicine at the University of Arizona is seeking a highly motivated Postdoctoral Research Associate for the Division of Endocrinology in
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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. Identifying innovative solutions and leveraging existing and new multi-model data to improve access to and uptake of city-based CVD strategies. Co-creating, implementing and evaluating city-based strategies