874 postdoctoral-image-processing-in-computer-science-"U" Fellowship positions in United Kingdom
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
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The School of Natural and Built Environment is seeking to hire a Postdoctoral Research Fellow to work on the €20/£17.3m multi-partner, all-island geothermal energy demonstration project GEMINI
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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Key Information Salary: Dependent on relevant Postdoctoral experience. This role is eligible for ICR Sponsorship. Support will be provided for costs associated with Visa application. If you are
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely
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Full-time: 35 hours per week Fixed term: to 31st March 2028 To conduct a research project and contribute to its direction, management and reporting in accordance with the project aims which overall are to study the development and plasticity of brain macrophages. The Opportunity: This post is...
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics