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Field
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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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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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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interests. Responsibilities Research will focus on development and application of methods, algorithms and tools for biostatistics and computational biology. A primary goal will be integration of single-cell
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simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal contingent
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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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will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close