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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
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organizational skills. Ability to work independently and take initiative. About the Supervisor The primary supervisor for the project is Dr. Tsung-Ting Kuo, an Associate Professor of Biomedical Informatics & Data
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Association and Yale Office for Career Strategy. Qualifications Candidates should have or be close to obtaining a PhD in either genetics, genomics, computational biology, bioinformatics, or a related field
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research (e.g., integer linear programming and constraint programming); heuristics, meta-heuristics, and evolutionary computations; distributed and cloud computing; automated reasoning (e.g., formal and