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Field
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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and molecular simulation experience. A solid background in simulation algorithms and experience in advanced scientific computing are highly desired, as is a solid background in chemistry or biophysics
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gene gain/loss events, horizontal gene transfer, and functional diversification within gene families. You will apply statistical models and machine learning algorithms to identify associations between
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
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Postdoctoral Researcher at Niels Bohr Institute, NQCP The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute at Faculty of Science, the University of Copenhagen
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21 Sep 2025 Job Information Organisation/Company University of Trento Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) Country Italy Application
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strong overlap in the fields of topological quantum field theory, quantum condensed matter theory, and quantum computing and algorithms. Qualifications Applicants must hold a PhD in physics or a related
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Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing