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Applications should include: Curriculum Vitae with the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Applications should include: Curriculum Vitae including a list of publications or manuscripts in preparation (if applicable) and details of MSc training Cover letter Copies of degree certificates
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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, or medicinal chemistry enthusiasm to contribute to and lead cutting-edge research in the fascinating world of glycosciences (should be reflected in cover letter) accurate note-keeping through electronic
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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information For further information about the position, the Morality of Extreme Wealth project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter