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be emphasized. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Benefits Organised research training in a large undertaking with an important social mission Careers advice and
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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without reasonable accommodation. Preferred Qualifications Experience with generating or analyzing large-scale genomic data. Excellent written and oral communication skills. Message to Applicants Central
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project forms part of a large, vibrant international collaboration involving leading institutions across the UK including the Met Office, which is also based in Exeter, the Netherlands, Germany, Spain and
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking a
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program. Routine Uses
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combining historical data and physical modelling to significantly improve the accuracy of large-scale and regional climate projections. The post is a fixed-term appointment for 36 months (3 years), as part of
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protocol conception and carry them out; design projects in data capture systems (e.g., REDCap); develop websites (e.g., WordPress) and create web applications (e.g., R package); genomic data processing; big
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 26/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS