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Grade E.89 Posting Detail Information Position Summary The Postdoctoral Associate will perform research and develop software tools in Bioinformatics, working on drug discovery related applications
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transcriptomics and T-cell receptor clonotypes Analyze gut microbiota with the latest bioinformatics tools. Requirements: The ideal candidate should meet the following criteria: Applicants must hold a PhD degree in
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highly motivated candidate with a PhD in genomics, molecular evolution, microbiology, bioinformatics, or a related field. The candidate should have expertise in microbial genomics. He/she should be
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science. Certifications/Licenses Required Knowledge, Skills, and Abilities JOB REQUIREMENTS
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- Salaried 12 Month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
, infectious disease, biostatistics and computational immunology at the University of California Los Angeles. Qualifications Basic qualifications The candidate should have a recent PhD and/or MD/PhD (within
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brought forward striving academics, like the first female student, the first Dutch astronaut and various Nobel prize winners. We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI
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collaborating on a number of spatial transcriptomics projects unrelated to cancer and you will be taking part in building a strong local community focusing on the bioinformatics aspects of these types of data