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for proteomic and metabolomic analyses is a core mission of the lab. The successful applicant will participate in all laboratory activities, ranging from sample processing and mass spectrometry-based proteomic
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to optimize computational workloads, data movement, and parallel processing. Trains scientists on using the cluster effectively for AI workloads. Optimizes, deploys, and maintains robust software to support
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, dissections and immunostaining of rodent brains, rodent intracranial surgery, as well as building experimental hardware and/or software for data analysis. In addition, responsibilities will include general lab
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hematopoietic cell development and hematologic cancers. Based on these basic mechanistic insights, the Laboratory is building innovative therapeutics to treat hematopoietic cancers that are currently without
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methods to interrogate the functional role of specific lncRNAs in pluripotency, differentiation, and disease. This knowledge will lead to new potential opportunities in regulating these processes
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insights into the mechanistic underpinnings of regulatory processes. Collaborate with experimental biologists to validate computational predictions and integrate multi-omic data. Contribute
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expected to be in the process of completing or have recently completed a PhD degree with research experience in cancer biology, bioinformatics, biochemistry, biophysics, or immunology. Experience/Skills
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of events. Ability to learn the point-of-sale system (computer software). Ability to work evenings, weekends, and some holidays, according to events and the seasonal needs of the department. Position
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office team, including input on staff performance along with analysis and feedback of events. Ability to learn the point-of-sale system (computer software). Ability to work evenings, weekends, and some
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team, including input on staff performance along with analysis and feedback of events. Ability to learn the point-of-sale system (computer software) Ability to work evenings, weekends, and some holidays