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) • Contributing to analyses of agency, responsibility, trust, mental privacy, and algorithmic bias in neuroAI systems • Collaborating with technical partners on issues of transparency, interpretability, and
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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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learning models to accelerate mixed-integer solvers Implementing and analysing online optimisation algorithms for real-time grid balancing Liaising with project partners (NESO and University of Strathclyde
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and quantitative data analysis. Strong writing and communication skills. What You Need
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for excellent and highly motivated researchers in all areas of the field, including but not limited to: quantum algorithms and complexity; quantum information theory; quantum cryptography; quantum information in
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algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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to evaluate algorithms on those benchmarks. Contributing to writing papers and review of the current literature. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: A PhD in biomedical sciences