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Field
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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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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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of nuclear and radiation engineering, including imaging, robotics, high-performance computing, reactor design and materials development. The groups provide a supportive community striving to solve the most
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travel grants for presenting at academic conferences, access to high-performance computing resources, and participation in programmatic activities and networking opportunities within MIT’s vibrant AI
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, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel
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productive manner. Knowledge of legal implications in clinical practice and documentation. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous