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at the Warsaw University of Technology”, financed through the FENG MAB programme (contract no. FENG.02.01-IP.05-0058/24). Candidates are required: 1) a PhD in Math, Computer Science, Physics, Artificial
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data and artificial intelligence (AI). Current efforts focus on three priorities: 1) tracking real-time affect and cognition to understand the impact of emerging learning technologies, 2) refining and
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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intelligence for cybersecurity and perform the following tasks: Research: Lead scientific research projects that aim at improving the cybersecurity of critical infrastructure with artificial intelligence
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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in
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/computational neuroscientist with a strong mathematical and computational background. Candidates with an interest in understanding the overlap and differences between natural and artificial intelligence
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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
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Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including