61 web-programmer-developer-"PhD-Jobs.NET" Postdoctoral research jobs at Duke University in United States
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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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, Brown University, and Eli Lilly & Company. Under the guidance of the PIs, co-investigators, and collaborators, the Postdoc Associate will be responsible for developing new statistical methods to empower
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Duke University, Nicholas School of the Environment - Durham Program ID: Duke -NSOE-Durham -POSTDOC_MEYER [#28186] Program Title: Postdoctoral Associate - Integrated Toxicology & Environmental
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) This postdoctoral fellow will play a critical role in developing and scaling automated platforms for long-term mammalian cell culture, including systems for stem cell maintenance and differentiation. These efforts
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integrate into active projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity
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academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment
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large datasets of dynamic complexes imaged by modern high-throughput workflows for in-situ cellular tomography. Development will be carried out within our open-source web-based platform, nextPYP (Liu et
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to other scientific projects within the lab as well as your own. Write fellowship and/or grant applications as appropriate for the development of your career Present research findings at local and national
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Doctoral Associate Duke Department of Neurosurgery Brain Tumor Omics Program Position Overview We are looking for a dedicated Post-Doctoral Associate to join Dr. Simon Gregory's laboratory in the Brain Tumor
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as