84 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions at University of Greenwich in United Kingdom
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permanent basis. We are looking for an enthusiastic candidate who will demonstrate innovation in their teaching. Applicants need to be confident in developing inspiring module materials and learning
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level of confidentiality. You will have a commitment to undertaking professional development and a desire to develop in the role. You will have a degree, professional qualification or extensive proven
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on a permanent basis. We are looking for an enthusiastic candidate who will demonstrate innovation in their teaching. Applicants need to be confident in developing inspiring module materials and learning
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on a permanent basis. We are looking for an enthusiastic candidate who will demonstrate innovation in their teaching. Applicants need to be confident in developing inspiring module materials and learning
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pressure and able to be highly discrete, maintaining a high level of confidentiality. You will have a commitment to undertaking professional development and a desire to develop in the role. You will have a
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following professional code of conduct and to continued professional development, in line with the changing needs of students and the service. This post is exempt from the Rehabilitation of Offenders Act 1974
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Analytics on a permanent basis. We are looking for an enthusiastic candidate who will demonstrate innovation in their teaching. The successful applicant needs to be confident in developing inspiring module
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including an excellent pension scheme, generous holiday entitlement, flexible working options including hybrid working and a genuine commitment to development. We are looking for people who can help us
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of conduct and to continued professional development, in line with the changing needs of students and the service. This post is exempt from the Rehabilitation of Offenders Act 1974 therefore the successful
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sensor spoofing. These attacks manipulate input data while maintaining apparent operational normality, potentially leading to unsafe decisions without detection. This project aims to develop a novel