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Field
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. to work on projects to: (1) Develop innovative mouse models of prostate cancer to determine genetic determinants of immune suppression and metastasis. (2) Uncover heterogeneous senescent cell types and
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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of teleoperation, work organization, and simulator development for automated vehicle fleets in public transportation. About Us The Chair of Ergonomics, headed by Prof. Dr. Klaus Bengler, conducts research and
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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, you will develop and deliver an independent research project exploring ethical issues at the intersection of global health and infectious disease. The role-holder will contribute to collaborative
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Sciences Institute (PSI), part of the Nuffield Department of Medicine. Reporting to Dr Tess Johnson and working closely with the Ethics, Policy and Context Theme, you will develop and deliver an independent