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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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from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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presentation of proposals for improvement: creation of additional analyses powered by the company's management software, such as deviation analysis and tools for analysing the performance of restaurant menus
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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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into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment
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parameters with software and equipment development; - Collaboration on the project's technical and scientific documentation. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the Centre
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of specialized field, process or discipline. May require experience with specialized software programs. Additional Qualifications Considered Due to grant stipulations, you must be a US Citizen, Permanent Resident
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knowledge of specialized field, process or discipline. May require experience with specialized software programs. Application Process Applications must be submitted online at https://jobs.uc.edu. To apply
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the candidate’s study cycle will be considered. Experience in software development projects relevant to the grant’s objectives. Evaluation Formula and Weighting: The final classification (FS) will be expressed on a