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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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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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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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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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: https://orise.orau.gov/usda-ars/ Research Project: Research will focus on the swine bacterial pathogens Streptococcus suis and Glaesserella parasuis, both of which are major contributors to high-priority
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction