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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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Dr Maria Secrier and be embedded within the dynamic and collaborative research environment of the UCL Genetics Institute. The position offers a unique opportunity to work at the interface of cancer
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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stratification methods to personalize treatment for individual patients. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with
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configurations and DNSSEC security validations. Implement the Kea DHCP service (or an equivalent solution) with a database backend. Develop APIs for migrating static data and test HA and failover algorithms