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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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mathematics / statistics Genomics / systems biology Strong expertise in computational methods applied to biological data, with proven experience in multi-omics data integration (e.g. genomics, transcriptomics
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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) in bioinformatics, epidemiology, statistics, or a closely related field, awarded before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree
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disciplines where they remain underrepresented, specifically within the fields of Business, Economics and Statistic. Your personal sphere of influence: The University of Vienna offers a world-class research
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the challenges posed by extrachromosomal DNA in cancer. Supported by Cancer Grand Challenges, a global initiative addressing key issues in cancer research, it is funded by CRUK and the NIH (https
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research