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(Qiskit, Cirq, etc.) - Fault-tolerant topological quantum computation - Quantum error correction - Topological / neutral-atom quantum computer & simulator platforms [Numerical & Computational Methods
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learning, AI interpretability, formal verification methods, modeling emergent risks from AI R&D automation. Candidates are encouraged to interpret these subject areas broadly. Fellows will have access
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positions will be filled for a fixed-term period of 3 years and are connected to Tampere University’s FutureChips Postdoctoral Programme and focus on fundamental technology and methods development for next
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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organism movement and behavior through image tracking Advancing unsupervised and semi-supervised classification methods to discover previously unrecognized biological groupings Explore adaptive AI-guided
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include