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of fibers, protein engineering, material characterization and bioinformatics to understand the transcriptome profile of the silk glands. The atmosphere in the group is ambitious, innovative, and friendly. In
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Online applications must be received before 11:59pm on: August 13, 2025 If a date is not listed above, review the Applicant Instructions below for more details. Available Title(s): 306-YN_FACULTY
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where the antibody maturation reactions occur. The laboratory uses a multi-disciplinary approach including mouse genetics, immunological assays, genetic screening and various genomics tools. A list lab
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motivated Postdoctoral Fellow in Bioinformatics and Computational Biology to join our multidisciplinary research team studying the microbiome and host-microbe interactions of relevance to infections occurring
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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Deadline: 2025/06/05 11:59PM (posted 2025/05/05, listed until 2025/06/05) Position Description: Apply Position Description The Sheng Yang He Lab at Duke University, Department of Biology, has an opening
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches