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(BSPP) in the Faculty of Human, Social and Political Science. The start date for this role will be as soon as possible. This is an exciting opportunity to join the Bennett School of Public Policy (BSPP
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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systems. The successful candidate should have a strong interest in mechanistic biology and in using experimental approaches to understand fundamental questions in cancer development. Computational
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as appropriate. The position may involve performing chemical synthesis using routine reaction chemistry and molecular characterization, including conformational and computational analysis. Working
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sequencing, flow cytometry, multiplex immunofluorescence, spatial transcriptomics, and standard molecular biology approaches. A computational component may also be available, depending on the skills and
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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Research and Professional Practice Programme, Faculty of Education, seeks to appoint a full-time Research Assistant/Research Associate in Adoption Research, Prevention Science and Quantitative Methods
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences