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Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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The Chemical Sciences and Engineering (CSE) Division is seeking applicants for a postdoctoral appointee who will conduct computational research in Catalysis Science. The project involves performing
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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PADSYS Lab's research. This will include working with the PI’s team to perform the planned research tasks, collect, and analyze the results, and present papers if accepted in some top computer science
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. Required Qualifications* Doctoral degree in computational biology or bioinformatics Desired Qualifications* In-depth knowledge of genome-wide association studies, interpretation, and application
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Apply now Job no:525134 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Elect & Computer Engineering Union: Post Doc Categories:Postdoctoral Research Associate, College
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Postdoctoral Researcher in Bioinformatics & Computational Biology University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Computer Science Location University of Oklahoma
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Posting Information Posting Number FAE1493 Advertised Title Post-Doctoral Researcher, Computer Science Campus Location Main Campus (Memphis, TN) Position Number 023558 Category Full-Time Faculty