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theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature
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materials for applications in soft robotics and wearable computing and such other tasks that are assigned to you. Core Responsibilities: Responsible for performing independent research Responsible
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. Additional Qualifications: Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi
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Position Summary The UCF COM Department of Medicine’s Aerospace Medicine program invites applications for a highly motivated and creative Postdoctoral Fellow to support the development of protocols
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materials for applications in soft robotics and wearable computing and such other tasks that are assigned to you. Core Responsibilities: Responsible for performing independent research Responsible
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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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