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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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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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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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, including particle phenomenology, dark matter, gauge/gravity dualities, lattice gauge theory, neutrino physics, quantum field theory, and quantum information science. The group also actively engages with
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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program. Excellent communication skills and an ability to work collaboratively with researchers from a wide range of disciplines. Additional Information Applicants must apply through Interfolio at https
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the collective bargaining agreement. The salary range for this position is $133,700 - $313,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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position is now available for the experimental axion dark matter search program at Johns Hopkins in conjunction with the HAYSTAC and ALPHA experiments. HAYSTAC (the Haloscope At Yale Sensitive To Axion Cold
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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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