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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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Department of Genetics & Development invites applicants for the Associate Research Scientist position. Candidates should have strong scientific and postdoctoral experince. Responsibilities will include running
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Department of Genetics & Development invites applicants for the Associate Research Scientist position. Candidates should have strong scientific and postdoctoral experince. Responsibilities will include running
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benefit from participation in the UT Southwestern Postdoctoral Training Program. Information on our postdoctoral training program, benefits and a virtual tour can be found at http://www.utsouthwestern.edu
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the world. More details about the Institute are available at https://sklqrcm.um.edu.mo/ . Qualifications (1) PhD/MD degree in Pharmacy, Medicine, Biomedicine or related disciplines, postdoctoral
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Postdoctoral
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to identify novel therapeutic targets for cancer. Description of the tasks of the project The hired postdoctoral researcher will be responsible for the establishment of the bioinformatics and spatial sequencing
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This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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research profile to further integrating wet-lab techniques (such as single-cell sequencing, -omics) with advanced data analysis, for example through bioinformatics, machine learning, or AI. Themes such as