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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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for a postdoctoral fellow position in the Laboratory of Systems Pharmacology ( LSP ; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in
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methods to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to
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images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and
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the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ ONT Whole Genome Sequencing ( WGS ), RNA -Seq). The ideal candidate will have a deep understanding of next
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and Machine Learning , with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable
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analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing