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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Genetics UPMC Hillman Cancer Center, University of Pittsburgh Email: wangxrecruit@gmail.com Web: https://www.cagenome.org The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and
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Job Description The Harborview Injury Prevention and Research Center (HIPRC) is a worldwide leader in injury cause and prevention research. Founded in 1985, HIPRC is a multidisciplinary research
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RESPONSIBILITIES*: 1. Provide high-quality academic advising services to current and prospective KSU students 2. Develops multi-semester degree planning following major curriculum guidelines, aligns students
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Cancer Center, clinical applications, the basic science research community, start-up companies, health care professionals, and additional applicable organizations. It will also support multi-disciplinary
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responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https
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leads multi-year project strategy, establishes measurable impact benchmarks, and guides interdisciplinary teams to translate evidence into scalable programs, tools, and partnership models. The Associate
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, diagnosing, creating treatment plans, triaging, making referrals when appropriate, collaborating within a multi-disciplinary treatment team, prescribing medication, providing psychotherapy and safety planning
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for workload; be flexible and resilient in the face of change Provide excellent customer service; exercise outstanding independent judgement with the ability to multi-task and manage competing priorities and
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! Responsibilities Core Duties: Lead and support the development and review of PPPL procurement and manufacturing documentation, including Statements of Work, technical specifications, procurement descriptions, and
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, the PhD student at ETRO will contribute to the core of the AI pipeline by designing and validating generative models (e.g. latent diffusion-, autoencoder-, and GAN-based approaches) that can infer