913 data-"https:"-"https:"-"https:"-"https:"-"MASSEY-UNIVERSITY" positions at Nature Careers
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and workflows, incorporating AI/ML approaches where appropriate. Apply machine learning and advanced analytics to variant prioritization, disease association, and multi-omics data integration. Curate
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& Denise Adams Center for Parkinson’s Disease Research and Scherzer Neurogenomics Lab combine population-scale human data (>30,000 deeply phenotyped participants), single-cell and spatial omics, and next
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screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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employment. Application For initial screening, applications must be submitted via email and include information on research from the past five years, including: • Cover Letter • Resume • Major
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate ‘patient similars’ or ‘digital twins’. The studies
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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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. Research at the DKFZ is organized into the following programs with a lot of interaction and interdisciplinary PhD projects available across different topics: For more information about the groups and their
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the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based computational modeling