273 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "UCL" Postdoctoral positions in Sweden
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setting where ideas grow into real impact. At the division of Computer and Network Systems , we design secure, dependable and high-performance computer and communication systems that meet the demands
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, we design secure, dependable and high-performance computer and communication systems that meet the demands of an increasingly digital and interconnected world. About the research project The European
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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and support computational analyses of high-dimensional molecular data related to wound healing and skin biology. Responsibilities include: developing and applying reproducible pipelines for single-cell
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable