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this direction. The project aims to develop a comprehensive approach to software verification grounded in neural certificate technologies. Role Summary The Research Fellow will play a crucial role within the
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includes a suite of initiatives that include the development of digital twins for physical systems at many institutions, development of high-fidelity, multiphysics software that models advanced reactors
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, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain
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Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P
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Fund, under the following conditions: . SCIENTIFIC AREA: Biomedical Sciences. . RECIPIENTS: Holders of a master’s degree in Biotechnology, Biochemistry, Biomedical Sciences or related areas, who are PhD
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conditions: . SCIENTIFIC AREA: Mechanical Engineering or Polymer Engineering. . RECIPIENTS: Holders of a master’s degree in mechanical engineering or Polymer Engineering who are PhD students in Mechanical
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Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
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neuropsychology. Pre-Employment Checks All offers of employment are conditional upon the satisfactory completion of: A Working with Children Check (WWCC). A National Criminal History Check. Verification of PhD
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Education Doctoral Degree in the appropriate field or discipline, or the recognized terminal degree. PhD, MD, MD/PhD degree - must have degree by date of hire. Required Experience In-depth knowledge
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Education Doctoral Degree in the appropriate field or discipline, or the recognized terminal degree. PhD, MD, MD/PhD degree - must have degree by date of hire. Required Experience In-depth knowledge