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Field
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implement the computational algorithms, automate data analyses workflow, curate published pan-cancer datasets, and build prediction models for novel transcriptome features analyses identified using bulk and
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. The Imaging Genetics Center (http://igc.ini.usc.edu) in Marina del Rey
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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). AI Integration Upskilling: Prior experience teaching students how to ethically navigate AI-driven Applicant Tracking Systems (ATS), optimize profiles for digital algorithmic screening, and utilize
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graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
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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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implications for equity and access to justice. This position will support the development of a curriculum that critically examines law, technology, and inequality, including issues such as algorithmic bias
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, genetics, immunology, and social sciences to develop evidence-based, personalized donation strategies. Within this multidisciplinary project, you will play a central role in the work package focusing
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analysis pipelines using best software engineering practices, including benchmarking, quantitative assessment, adaptation, and parameter optimization of emerging bioinformatic pipelines and algorithms