1,138 data-"https:"-"https:"-"https:"-"https:"-"Washington-State-University" Postdoctoral positions in United States
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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to support clinical trials, such as development of standard operating procedures, data management, study implementation. Design and implement statistical analyses for ongoing and new research studies. Develop
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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar-1 Department: Medicine
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar Department: Medicine | IM
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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using NMR spectral data. The ability to work safely and responsibly in a synthetic organic chemistry lab, to use standard methods of running organic reactions, to prepare and track samples, to identify
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education, quantitative methodology, or related fields (can include time during graduate-level training). • Experience with data analytics and scientific writing skills as evidenced by rigorous scholarship