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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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specialist software, and questionnaire administration. Expertise in respiratory physiology, air pollution research, and NHS-based research involving diverse populations and primary school-aged children is
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of the following areas: Artificial Intelligence, Quantum Technologies and Autonomous Vehicles. Recent relevant experience to include: Software development for real-world applications or simulation Demonstrable
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and regulatory bodies on marine charging standards
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includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
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completed) doctoral thesis, published or forthcoming books or articles in refereed journals, conference proceedings, software packages or patents (as relevant to the candidate’s field), or evidence of
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experience in the advanced use of Computer-Aided-Design and mesh based Computer Aided Engineering (i.e. FEA or CFD) software tools, A proven track record of using relevant techniques to carry out analyses
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and mesh based Computer Aided Engineering (i.e. FEA or CFD) software tools, A proven track record of using relevant techniques to carry out analyses, critical evaluations, and interpretations of data as