516 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in United Kingdom
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. Support the design and development of physical products from early concept through to final production Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and
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postdoctoral fellow to be part of our team to advance our Rapid Pulsed Laser Deposition (RPLD) technology and ultimately develop a new class of active mirror to underpin the next generation of thin-disk lasers
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sensor development for wastewater, especially on the single-cell and single molecule detection, utilising state-of-the-art facilities in the Advanced Sensors Laboratory at Cranfield University. Cranfield
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The purpose of this role will be to have specific responsibility for research, for developing research objectives and proposals for a research project in cardiovascular disease. You will be expected
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delivers a co-produced programme of research that serves two key purposes. It provides an evidence foundation to advance the institution's civic mission while creating meaningful impact where it's needed
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beyond, offering extensive opportunities for scientific exchange and collaboration. There is substantial scope for the research fellow to shape the direction of the work and to develop their own research
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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help guide work and demonstrations in the following tasks: Firmware extraction and reverse engineering. Study, understand and analyse mobile platform applications. Design, develop and test AI-driven
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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on the assurance, risk assessment, and insurability of AI systems, supporting the development of trustworthy, reliable, and accountable AI technologies across critical sectors such as finance, insurance, and digital