698 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs in United Kingdom
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The position will be based at the Institute of Process Research and Development, in the School of Chemistry, University of Leeds. We are open to discussing flexible working arrangements. To explore the post
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The postholder’s primary responsibility is to conduct cutting-edge research on a new class of biochemical sensor development for wastewater, especially on the single-cell and single molecule detection, utilising
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about our EDI approach, click here. What will you receive? We value our team members and are proud to offer an extensive range of benefits to support their well-being and development. You can find out
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
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team to develop advanced Nuclear Quadrupole Resonance (NQR) scanning technologies. Job Responsibilities Participate in research project with Principal Investigator (PI), Co-PI and the research team
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contributing to economic, social and political debate as well as development in societies, nationally and internationally. The department pioneers research collaborations with external partners to diversify
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enables the successful applicant to spend up to half of their time developing their own materials ageing research with a healthy consumables and travel budget to support this. In addition to carrying out
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an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all
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opportunities, including further training and help to develop a future portfolio of work. This post is funded from a portfolio of clinical trials; this is reviewed on an annual basis. Salary will be within
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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