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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
cells; experience in drug delivery, statistical analysis, genetic manipulation (cell line engineering, GEVIs, etc.), and single cell sequencing and spatial transcriptomics. Job #23979 This is a one-year
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related field with a background in affective, cognitive, social, health or systems neuroscience; Established quantitative and statistical skills using neuroimaging analysis platforms; and Excellent writing
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well as experience in handling small rodents, sterile tissue culture techniques, biochemical and molecular biology techniques, imaging methodology and statistical analysis. Prior experience working with endothelial
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of biomolecular systems Design and implement research ideas independently and in association with the supervisor and other collaborators Perform simulations and analyze large-scale data utilizing robust statistical
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. and globally. Qualifications: A doctoral degree (PhD and/or MD) completed or pending in quantitative discipline (Bioinformatics, Computer Science, Statistics, Applied Mathematics, etc.) is desired with
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, GWAS, Mendelian randomisation, and other statistical and machine-learning techniques. The successful candidate will have research interests aligned with those of CBSGI and CEU. They will have the freedom
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/project.html Minimum Qualifications: Ph.D. in Operations Research, Applied Mathematics, Statistics or related. Solid background in stochastic process, simulation, ML, mathematic statistical methods, and
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, Computer Science, Applied Mathematics, Statistics or related. Solid background in ML, mathematics, statistical methods, and understanding of biomanufacturing process. Experience in doing research in a multi
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Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
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, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology. Please visit https://www.bumc.bu.edu/preventive-med/education