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Qualifications Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data. Strong background in programming, algorithms and statistics. Familiarity with programming techniques
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 14 hours ago
degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
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relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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neural signal transmission and compromised sensorimotor functions. By combining advanced biology, nanoelectronics, and artificial intelligence, Spinal+ seeks to significantly improve patients’ quality
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About the Opportunity Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science courses with minor
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Institute, the successful candidate will join a small, collaborative group of staff scientists embedded within the Curtis Lab, working at the intersection of cancer genomics, computational biology, and
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https