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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in the selection process. This appointment duration is up to three years, with reappointment contingent
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. For more information, please visit our website – https://www.nocera.harvard.edu/– or contact the department directly. Please note: This position is contingent upon funding and satisfactory performance
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basis until the position is filled. For more information, please visit our website – https://joonholeegroup.com/ – or contact the department directly. Please note: This position is contingent upon funding
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Number: 13610 School: Faculty of Arts and Sciences Position Description: Applicants are now being considered for a postdoctoral position in the Gozzi Lab at the Rowland Institute at Harvard (https
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zebrafish brain at over 200 Hz. The postdoctoral fellow will play a leading role in designing, building, integrating, and validating the next-generation platform. More information is available at https
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, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment. Contact Information: For further information, please contact petros