87 software-formal-method-phd Fellowship positions at Harvard University in United States
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. Additional Qualifications Attention to detail and professionalism are highly important for the role. Experience with participant recruitment and retention methods. CITI certified and trained in Good Clinical
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the brain, and behavioral development. Basic Qualifications Successful candidates will have recently obtained a PhD. in a relevant field including, but not limited to, neuroscience, biology, and psychology
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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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-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
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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contemplating application to a PhD program in economics or another quantitative field. Additional Qualifications Special Instructions Please include contact information for three references in your cover letter
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cutting-edge methods to visualize cellular organization. As one example, we are using time-resolved cryo-vitrification (both cryo-plunging and high-pressure freezing) to visualize the nanoscale dynamics
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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to achieve self-sufficiency in AI hardware and software highlight the intricate interplay between technology, society, and politics in this era of technological competition. Contextualizing AI within a broader