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to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences
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of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux. Proficiency in
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materials, especially under high-performance applications. Traditional methods for coating and stabilizing LFP cathodes often face limitations in durability and electrochemical efficiency. This research aims
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learning platforms are preferred; Experience with computing in cloud environments is a strong plus; some experience with high performance computing and database administration is desired but not required. A
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: 277494302 Position: Postdoctoral Research Associate Theoretical High-Energy Physics Description: "Post-doctoral Associate in Theoretical High-Energy Physics'The Physics Department at Princeton University
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medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with
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processing, while maintaining high efficiency and selectivity in flotation performance. Responsibilities: Develop and synthesize bio-based flotation additives (e.g., collectors, dispersants, depressants
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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and risk assessment modeling. • Prior experience with CCUS research projects. • Familiarity with high-performance computing (HPC) and parallel computing techniques. Required Knowledge, Skills, and/or
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You