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science/bioinformatics (or a closely related analytical subject) or with an equivalent of level of experience evidenced by significant relevant outputs Substantial experience of working at remote big data platforms with a
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environmental metagenomics, microbial genomics, and advanced bioinformatics. This position offers a unique opportunity to start something new in a leading research institute and to establish oneself as a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
/Description: The Postdoctoral Research Associate will independently conduct biomedical research on substance use disorders using molecular/omics, behavioral, and computational/bioinformatic techniques, analyze
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Bioinformatician I will perform general bioinformatics analysis and software support for projects involving in omics. The RB I member will manage omic data including loading and querying data from database systems
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to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute
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collaborative team performs high-impact studies that allow them to develop new strategies to ameliorate dysbiosis and neuroinflammation and reduce chronic disease burden. Key Responsibilities: Bioinformatics
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preimplantation genetic testing, molecular sequencing, and bioinformatics. If you are eager to contribute your expertise and inspire the next generation in these cutting-edge fields, this role offers a unique
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experiments and assisting with basic bioinformatics data processing. The technician will contribute to data generation and help maintain lab workflows but will not be primarily responsible for experimental
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years related education/experience) Required Experience 3 years If any experience is required, please specify what kind of experience: Experience in bioinformatics and/or programming to include
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data