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Details Title Postdoctoral Research Fellow, Microbiome Analysis Core School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description The Harvard T.H. Chan School of Public Health Microbiome Analysis Core is seeking a data analyst, either MSc or PhD level, for...
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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Fellowships The Harvard Theory of Computation Group seeks applicants for postdoctoral fellowships to work with individual faculty members on research in a variety of areas in theoretical computer science
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audiences. Additional Qualifications Familiarity with generative modeling, Optimal Transport theory, differentiable optimization, and/or implicit deep learning Demonstrated interest in interdisciplinary
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for high-frequency electromagnetic simulations Background in mathematics, statistics, noise analysis Willingness to expand technical skillset into new areas Strong interpersonal and mentorship skills and
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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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of nanoparticles and metals, ARDS), James P. Butler (physics, applied mathematics, sleep, respiratory mechanics), Philip Demokritou (effects of nanoparticles on biological systems, nanoscience, aerosol engineering
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teams. Basic Qualifications A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the
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polygenic risk profiles for PTSD, and (iv) identifying mechanisms underlying metabolic dysfunction in PTSD with a network based mathematical modeling using correlational and causal analysis. In the next phase