107 phd-position-in-data-modeling-"UCL"-"UCL" Postgraduate positions in United Kingdom
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applications and reviewing literature to gathering information, working with data, and helping to prepare findings for publication. Candidates are asked to specify in their application which of our priority
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fluctuate in line with business requirements. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts. About Arden
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A Clinical Research Assistant position is available in the group of Prof. Sadaf Farooqi at the Institute of Metabolic Science, University of Cambridge. We are recruiting a Clinical Research
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for interacting with the sleeping brain to boost learning. The postholder will assist with recruitment of participants, data collection, and analysis, as well as contributing to the general running
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available. Further information on our Benefits and Rewards can be found here . The salary being offered for this role is below the minimum threshold for required to sponsor new applicants to the Skilled
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. Additional Information Closing date: 21st September 2025 at 11.59pm The selection process will involve an interview and presentation. Further details will be confirmed at the interview stage. To apply and for
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Evidence Unit, you’ll work with large-scale electronic health record data to: Draft study protocols and conduct feasibility assessments Clean and analyse data using statistical methods Contribute
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analysis of an online questionnaire, laboratory-based experiments, field-based data collection at 100-mile challenge events, writing a 40,000–50,000-word thesis, publications, and conference presentations
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Psychology or similar, combined with work experience in project administration and management as well as stakeholder engagement and liaison. Additional Information Closing date: 21st September 2025 at 11.59pm
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and consolidation, and test novel methods for interacting with the sleeping brain to boost learning. The postholder will assist with recruitment of participants, data collection, and analysis, as