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Field
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, Mathematical Optimization Cryptography: Post-Quantum Cryptography, Multi-Party Computation, Zero-Knowledge Proofs, Fully Homomorphic Encryption, Privacy-Preserving Algorithms Computer Science & Engineering
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Division/Team: Department of Computer Science Hours per week: Full Time Closing date (DD/MM/YYYY): 14/08/2025 Contract Duration: From 1st September 2025 for 18 months School/Directorate: School
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research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied
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manual data processing and integrate warehousing; Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale clinical datasets Collaborate with data scientists
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working in the research group “Theory and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks
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: 0493-25 We are seeking a Research Associate to join Lancaster Medical School and work on the “FeetSee” project funded through a project grant from the Next Generation EU Programme: Implementation
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portfolio in AI4Science. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data
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an extensive safety analysis and calidation of perception algorithms in automotive. Through our work, we lay the foundation for a reliable digital future. What you will do Reliably detecting persons is crucial
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diseases. Required Qualifications: (as evidenced by an attached resume) ● Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a
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, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and shape these technologies