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(Jonathan.Belnoue@bristol.ac.uk ). To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
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SCIENCES Department of Applied Social Sciences Department of Health Technology and Informatics Department of Rehabilitation Sciences School of Nursing School of Optometry For more information about PolyU
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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for the operational delivery of the Directorate’s enterprise programme activities. The post does require some evening and weekend support for programme delivery. Main Duties and Responsibilities 1. Ecosystem Support
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or computer science, or a related discipline (or equivalent experience). A doctoral level qualification involving methodologies deploying advanced statistical, mathematical or algorithmic techniques, or directly
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projects within our group funded by EU Chips JU, Business Finland (BF) co-innovation, and Technology Programme Helsinki Institute of Physics such as Moore4Power, WIBASE, and AQUES respectively. The role
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overall accountability for the operational delivery of the Directorate’s enterprise programme activities. Main Duties and Responsibilities 1. Ecosystem Support: Deliver advice and support to enhance current
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microbial communities: Microbiome engineering for a Net Zero future”. In this project we will deploy state of the art metagenomic engineering tools to permit in situ genetic augmentation to modify microbiome
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groups with academic, technology and computational expertise to overcome barriers in extracellular matrix research. Extracellular matrix is essential for multicellular life, it surrounds and supports cells
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior