8 electrical-machine-"https:"-"https:"-"https:"-"https:"-";" Fellowship positions in Denmark
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intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into
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computational pipelines for QTL data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web
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data visualization, with a track record of designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
focus of the position will be on making visual analytics more reliable and more accessible through the integration of AI and machine learning methods—including large language models—into the
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PhD Scholarships in Engineering of Quantum Light Sources and System Architecture for Photonic Qua...
for the position. DTU Electro DTU Electro employs more than 300 skilled researchers with competencies in electrical and photonics engineering. As a department, we strive towards creating sustainable
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degree programs at Aarhus University, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the
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and machine learning methods—including large language models—into the visualization pipeline. Responsibilities Lead research projects within the intersection of data visualization, human-centered AI
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field