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Field
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, bioinformatics, in vitro and in vivo experiments to evaluate the combination drug therapy in glioblastoma and the development of biomarkers for pseudoprogression. He/she will be also involved in animal genotyping
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, reagents, media, and solutions for use in the Laboratory. • Perform bioinformatic analysis using programming skills, data entry, management, and summarization, statistically valid data analysis and
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming
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NanoBio Systems Laboratory. The project will be highly interdisciplinary and fast-paced, having multiple collaborating labs in microbial pathogenesis, environmental microbiology, and bioinformatics
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A
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should have a strong background in cancer biology, molecular biology, biochemistry, immunotherapy/immunology, bioinformatics, and experience working with mammalian cells and mouse models of cancer
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. Candidates with a strong background in epidemiology, epigenetics, male reproductive biology, next-generation sequencing, and/or computational biology/bioinformatics are preferred. The successful candidate will
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the objectives of the Bioinformatics Core in the context of the INBRE project. These tasks include analysis of genomic data, development of analysis pipeline, maintenance of genomic data, design and deliver short
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-yale-center/ | https://www.linkedin.com/in/clemens-scherzer-md-812b72130/ Candidates should have a Ph.D. in a relevant quantitative field (e.g. CS, Bioinformatics, Statistics, Computational Biology), a
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techniques, and bioinformatics analysis is welcomed. The candidate is expected to work independently, as part of a team, and collaboratively with other researchers. An individual who demonstrates self