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Genomics at Harvard Medical School Several positions are available in the Park Lab ( https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at
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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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) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social network analysis, social
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applicant will be part of the Creative Practices, Methods and Analysis CPMA research cluster. More PhD opportunities are listed on the CPMA website: https://www.ntu.ac.uk/research/groups-and-centres
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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
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Description The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in
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reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing