62 finite-element-analysis Fellowship research jobs at Harvard University in postdoctoral
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Details Title Postdoctoral Fellow, Center for Geographic Analysis (CGA) School Faculty of Arts and Sciences Department/Area Center for Geographic Analysis (CGA) / Institute for Quantitative Social
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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. Applicants for these positions should have a Ph.D. in experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicants are expected to be
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling, multilevel modelling). · Data Cleaning and Management. Engages both independently and under supervision in
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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CAUSALab researchers. For example, you can tell us how an analysis could be improved, propose alternative interpretations of the findings, point out potential errors, describe alternative areas