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Field
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network of academic, industry and professional partners and stakeholders proven experience supervising and mentoring others strong skills in research, planning and organisation, computer literacy, effective
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. Have the ability to communicate complex information effectively in oral and written format. Have an ability to build relationships to develop internal and external networks. To be successful
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, which aims to develop novel solutions for the detection and reaction to cyber attacks, we are recruiting a Post-doctoral fellow within our Network Systems, Cybersecurity and Digital Law (SRCD) department
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candidate may be required to obtain an ATAS Certificate prior to this research being undertaken. For an informal discussion to find out more about the role then please contact Dr Andy Parsons by email at
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flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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supervising HDR students and leading multidisciplinary research teams. established collaborative networks across academic, clinical, and/or industry partners that enhance research translation and impact
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low-carbon and green technologies, and to provide evidence to guide future transport and energy planning. This position offers the chance to make a real contribution to the UK’s goal of achieving net
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Predictive, Preventive, Personalized, and Participatory (P4) approaches in health and medicine. Within the IRAP framework, the project’s scientific goal is to discover and validate novel therapeutic concepts
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technologies, and to provide evidence to guide future transport and energy planning. This position offers the chance to make a real contribution to the UK’s goal of achieving net-zero emissions by 2050. About