908 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts
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following: flow cytometry, microscopy, NGS techniques and analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics analysis of NGS data (ChIP-seq, CUT&Tag
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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to the faculty’s departments. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, ts
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. Attention to detail and organizational skills are essential in coordinating data across multiple disciplines and collaborating sites. This role will be research focused and be patient/participant facing. Job
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Research. This position is responsible for overseeing Hematology's Clinical Trial Management Data Team which includes providing guidance on data collection, management, and analyses for clinical research
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Background Michabo Health Science Limited is a growing spin-out company from the University of Birmingham. We are leaders in the innovation and application of molecular toxicity data from ‘omics
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening