187 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Harvard University
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering
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Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with support from
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, along with slavery, abolition, and Reconstruction, will be vital to our discussions. Uniting diverse viewpoints and historical methods at a key semiquincentennial, this seminar asks: why do commemorations
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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transform visual information. We use large-scale electrophysiology and closed-loop visual experiments with macaque monkeys to discover the principles underlying cortical computation. We are seeking highly
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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provided that: they are able to be in residence at Harvard, all other aspects of their PhD program are complete, and their degree is expected in the 2026 calendar year. The position may be renewable for a
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-derived cells (iPSCs, myogenic progenitors), genetic mouse models, and phenotypic drug screening methods. In addition, we are examining severe muscle damage that results in a less efficient regenerative