461 parallel-processing-bioinformatics Fellowship positions in Ireland-University-Ranking-2024 in United States
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Assistant Program Director in the management and direction of all surgery education programs within the Department. Construct and maintain methods for meeting ACGME training requirements for all accredited
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Postdoctoral Fellow in Bioinformatics - (2600003U) The Translational Microbiome & Immune Tolerance Laboratory at the University of Maryland School of Medicine, Center for Advanced Microbiome
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experimental systems — from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software, including common bioinformatic/statistical software and
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Department Department Department Psychiatry (42) Comm Practice-Medicine (25) Thompson Center (21) Neurology (20) Family & Community Medicine (18) Veterinary Medicine & Surgery (18) Orthopaedic Surgery (16
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.” About the Opportunity The Khoury College of Computer Sciences seeks a Distinguished Research Fellow to establish and lead an independent research program. The Distinguished Research Fellow will be
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cancer relapse and targeted therapy response. Responsibilities* Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and
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, and define data needs; track, curate, and upload raw and processed datasets to hubs and repositories as appropriate. · Follow relevant scientific literature to ensure use of optimal methods and
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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data