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, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The department is housed within the Hankamer Building and the Baylor Research and Innovation Collaborative (BRIC; see https
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mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied
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) and other stakeholders in the area of bioinformatics and data analysis Perform scientifically rigorous data management and bioinformatic analyses Develop neural network models using modern machine
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development and maintenance of bioinformatics software (e.g., Cytoscape, NDEx and Cytoscape Cyberinfrastucture) and novel biological visualizations. Evaluates state-of-the-art technologies for suitability in
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, plants to vertebrates. The programme employs diverse research approaches ranging from ecology, molecular biology, evolutionary biology to genomics and bioinformatics. The research produces and utilises
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Biology, Bioinformatics, Cancer Biology, Molecular Biology, Pathology, or a closely related discipline. Strong background in spatial omics technologies (e.g., spatial transcriptomics, high-plex imaging
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: Master’s degree (or equivalent experience) in biostatistics, statistical genetics, bioinformatics, epidemiology, or a related quantitative discipline. Experience analyzing human genetic data, with
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with other LIB researchers of both localities. We expect the candidate to hold a PhD in Evolutionary Biology, Molecular Biology, Bioinformatics, or a closely related field with strong emphasis
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regulation in motor neurons. Your work will involve high-resolution imaging, iCLIP, and close collaboration with the Institute’s bioinformatics team to interpret and connect molecular changes with cell-level
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FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds