41 high-performance-quantum-computing-"https:"-"https:"-"https:" uni jobs at Lancaster University
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Please note: this job is only available to current employees of Lancaster University The Division of Health Research is seeking to appoint a Programme Coordinator, to work on the Doctorate in Clinical
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. Interested applicants are encouraged to review the information about the programme that is held online https://www.lancaster.ac.uk/health-and-medicine/dhr/dclinpsy/ and to arrange an informal conversation
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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internal / external systems and data sources Develop scalable C# .NET Core applications with a focus on high performance Building user interfaces using Angular or similar frameworks Develop and optimise SQL
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Reference: 0543-25 Lancaster University is delivering a major Curriculum Transformation Programme to reshape how education is designed, delivered and managed across the institution. There are 2 roles and
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future complex distributed systems. Developing high quality and impactful publications. Developing collaborations with academic, industry partners and EPSRC projects. You will have a PhD in Computer
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Technology Enhanced Learning (TEL) to become part of our internationally leading TEL doctoral programme team for 12 months. The TEL doctoral programme is delivered by colleagues in the discipline of
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of reliable gold-standard training data. Key Responsibilities Adapt and test existing automatic accent/dialect classification technology Generate results and data visualisations to reflect system performance
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content is inclusive, accessible, high quality and aligned with student needs. You will also gather feedback, analyse engagement data and use insights to continuously improve our digital materials. We’re
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budgets. Maintain dashboards and reports for senior leadership, programme team and wider stakeholders. Provide high-quality analytical support to inform planning and decision-making. Work closely with