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computational scientists to analyse large-scale datasets using state-of-the-art bioinformatics and artificial intelligence approaches. Prepare manuscripts for publication in leading international journals
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, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics infrastructure across gynecologic cancer
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of junior trainees (e.g. undergraduate, and graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics
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graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics, proteomics, cancer biology, reproductive
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to these requirements will be regularly reviewed by the employer. QUALIFICATIONS Successful applicants will have: Completed PhD within 5 years in a relevant discipline (epidemiology, biostatistics, statistics