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Field
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prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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, commercialisation and growth. About the Role The core purpose of this role is to use your diagnostic skills and expertise in manufacturing and technology scale-up processes to help accelerate the commercialisation
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sparkmedia.tv Qualifications we require: Hold, or be about to obtain, a Master's degree in Computing, Computer Vision, Data Science or a related field. A PhD in Computer Vision or similar is desirable but not
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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the study’s infrastructure, improving system operations, and ensuring efficient processing of multi-source data. About You You will hold a Bachelor's degree (Master’s preferred) in computer science, data
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Innovation team. Do you have experience of supporting R&D and supporting technology transfer? Does cutting-edge innovation that enables world-leading researchers and creative industry partners to work together
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 1 month ago
. Research areas of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine Foundation AI Models Multi-omics and Integrative Data Analysis
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 1 month ago
. Research areas of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine Foundation AI Models Multi-omics and Integrative Data Analysis
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of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern