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hydrogen-ammonia co-combustion using experimental techniques, high-fidelity numerical simulations, and machine learning” The competition is open to applicants who meet the detailed requirements set out in
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for one or more PhD stipends in the field of Protocols and methods for quantum error correction
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, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion
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PhD position in Immunology (Team Adamo / Binder Lab 100%) The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and
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PhD position in Immunology (Binder Lab 100%) The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and clinical