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Field
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applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and numerical simulations with optimization algorithms
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research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross
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, with possibility of renewal Appointment Start Date: Flexible; Spring or Summer 2026 Group or Departmental Website: https://spoglab.stanford.edu (link is external) How to Submit Application Materials
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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“algorithmic bias” in AI systems; understanding what it would be to “align” AI systems with ethical norms; developing and evaluating proposals for the governance of powerful AI systems; the ethical issues raised