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Title of the Position: Postdoctoral Associate – Computational cancer biology (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct towards co
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possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct towards co
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The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment The Postdoctoral Appointee functions under
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clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor
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: Proficient with Python, R, and Linux/Unix systems. Strong skills in computer scripting and pipeline development. Experience in project management Experience in network analyses. Previous post-doctoral
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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Postdoctoral Associate in Computational Neuroscience at Yale The Post-Doctoral Associate will develop predictive, gene-regulatory networks linked to Parkinson’s and other neurological diseases in
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the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members