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Job Description Apply now Req Id: 37408 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Generate large genome-scale datasets with a variety of techniques
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on collating and analyzing the large volumes of carbon cycle data gathered from the site to date, then preparing the resulting analyses for publication in scientific journals. Likely topics for papers include
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childhood into adulthood. The role involves working with large-scale longitudinal datasets to explore gene–environment interplay and developmental risk pathways. The successful candidate will join a vibrant
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited
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of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will conduct cutting edge research that builds on our preliminary research with Open Weight Local Large
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countries to increase opportunities for discovery. We and our partners aim to integrate state-of-art data science with various types of statistical methods to translate large medical data from benchwork
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immunological assays are developed and conducted, and The Biomedical Laboratory at SDU, which houses state-of-the-art small- and large animal facilities. The postdoc will join the group of Professor T. E
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convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetics data