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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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Position Information Posting Number F00737P Position Title Post Doctoral Research Associates Department Bioengineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Scholar Position Title Postdoctoral Research Associate Vacancy ID PDS004767 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US
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[at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills, including machine learning, e.g. demonstrable
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science, statistics, or a related field. Strong programming skills
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: Ph.D. and/or MD in an appropriate scientific discipline required. Job Description: The Martins lab at The Herbert
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contact Prof. Dr. Antonio del Sol (email address: ). Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics