166 computer-science-intern "https:" "https:" "https:" "https:" "P" research jobs at Nature Careers in United States
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Program dataset, and also make use of many other datasets, including our own Yale-Penn sample, Thai sample, and other samples, as well as the UK Biobank, AllOfUs, etc; (b) Psychiatric Genomics Consortium
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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bioinformatics communities, including in Cancer Research Communications (https://doi.org/10.1158/2767-9764.CRC-25-0030 ; presented and highlighted at the AACR Annual Meeting 2025), Science Advances (https
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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preparing results for publication. Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, data science, computer science, bioengineering, physics, or a related field. A strong publication
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list