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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
a postdoctoral researcher fully focused on artificial intelligence in the life sciences. The role centers on working with foundation models for proteins and DNA/genomic sequences, and on overseeing
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. About You You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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: Presentation of the academic qualifications and/or diplomas, if applicable. Work plan: The work plan will focus on the development and application of machine learning and explainable artificial intelligence
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ Who we
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Researcher will lead and support experimental research on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI
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an independent research career. Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health
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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position