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visualization. A core task will be to organize collection and analyze data generated by the Urban Belonging App and publish on methods innovation in Science and Technology Studies in leading journals within
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and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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opportunity of significantly advancing a technology that could be decisive for the green transition, as your magnet design will directly be used to realize the next generation of eco-friendly and energy
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. You will be affiliated with the Intelligent Transport Systems section at the Department of Technology, Management and Economics (DTU Management) of the Technical University of Denmark. The position is
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a talented and highly motivated researcher to work at the forefront of exoplanet atmospheric science with JWST. The postdoc will be involved with the analysis and interpretation of JWST data (new data
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an exciting opportunity to contribute to a cutting-edge instrument during its commissioning and early science phases. You will work with Prof. Lars A. Buchhave (2ES PI) and the rapidly growing