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for the Science of Learning & Technology (SLATE), Faculty of Psychology there is a vacancy for a postdoctoral research fellow position within artificial intelligence and education. The position will also
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more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
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sources, magnetic activity in exoplanets, and machine learning classification. The candidate will lead and participate in observations and data analysis of these sources in all areas of the electromagnetic
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of information visualization, visual analytics, applied machine learning but possibly also in the areas of the domain experts. Within the DISA environment, large and complex data sets from various domain areas
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, quantum cryptography, quantum program verification, quantum machine learning, etc. ● Within the predetermined research scope and methodology, conduct research experiments in the field of Quantum
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, including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings
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, computer science, and optimization (including machine learning) are welcome, preferably with experience in algorithmic game theory, decision theory, computational social choice, social welfare, and fairness
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to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Postdoctoral Research Fellow position At the Centre for the Science of Learning & Technology (SLATE
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition