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interactions. We are looking for an enthusiastic and versatile postdoctoral researcher to apply existing bioinformatic methods and develop new pipelines to analyze and interpret high-throughput sequencing data
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highly motivated Postdoctoral Researcher in Bioinformatics, Big Data and Translational Medicine to join a multidisciplinary research team. The successful candidate will work on translational research
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position within a Research Infrastructure? No Offer Description Activities The fellow will be expected to research the relationship between these technologies (big data, machine learning, and the entire
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communication skills, and can work both independently and as an effective member of a large research team. The candidate will be expected to initiate new research proposals for both intramural and extramural
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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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, Division of Computational Biology) on research using large-scale EHR data sources, including Epic Cosmos and PEDSnet. Ideal candidates will have experience in one or more of the following areas: EHR-based
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. The postdoctoral fellow will join a research group with potential access to large, administrative data sets therefore prior experience with big data and administrative data will be advantageous. via Unsplash
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
to the Earth’s dynamo and to large-scale flows in Jupiter and Saturn. Your tasks Investigating rotating convection and 2D turbulence using theoretical, numerical, and data-driven approaches. Studying the formation