106 algorithm-development-"The-University-of-Edinburgh" Fellowship positions at Nature Careers
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Anderson Cancer Center. Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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research and development efforts. Through a competitive selection process, the program identifies exceptionally talented individuals at various career stages, from recent graduates to experienced researchers
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access to a rich collection of patient-derived specimens to advance their research objectives. The ideal candidate will be skilled in and have experience in: • Developing and executing advanced
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Postdoctoral Research Fellow - Jones Lab Biology Dana-Farber Cancer Institute Boston, MA Full Time Overview The Jones Lab is developing next-generation covalent chemical biology with the objective
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Position Summary: The Bhattacharya Lab at the University of Nevada, Las Vegas (UNLV) is seeking a highly motivated Postdoctoral Fellow to join our research team focused on developing lipid
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datasets, performing statistical analyses and machine learning approaches to identify biomarkers of treatment responses. The candidate will also develop and implement bioinformatics pipelines in a high
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International travel may be required for this role. Background This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop
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addition to developing their projects, fellows will participate in a tailored training programme focused on research valorisation and career development. The training will include internships and mentorship opportunities
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and