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Field
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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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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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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
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communication skills, and hold a valid VISA to work in the United States. A strong background in bioinformatics and statistics, as well as experience in molecular laboratory assays, is highly desirable. The CVD is a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Experience Requirements PhD in molecular biology, cancer biology, or bioinformatics/computational biology or related field Required Qualifications, Competencies, and Experience PhD in molecular biology, cancer
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of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We