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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
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community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals
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ideas and interests in one of these areas with a solid track-record of research productivity during their PhD and/or initial postdoctoral training. MINIMUM REQUIREMENTS Education: Applicants must have PhD
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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$54,000 - commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field Required Related Experience Experience
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research reading groups. ● Foster an inclusive lab culture, promote collaboration, and encourage shared learning among team members. Secondary Responsibilities ● Occasionally guest lecture
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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accordance with the Boston University Postdoctoral Compensation Guidelines and the Postdoctoral Scholars Policy. To be considered, applicants must hold a PhD in epidemiology, biostatistics, computational
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in computational science, machine learning, and experience with synchrotron data analysis are strongly encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be