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Professor levels with research interests in bioinformatics. Recruited faculty will join a highly collaborative community of more than thirty investigators working in a wide variety of BMI sub-domains
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, bioinformatics, genome editing, blastocyst complementation etc. The successful candidate will demonstrate an ongoing commitment to education, and mentorship within our collaborative and inclusive departmental
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service within the school, college, and university in capacities appropriate for the position. Minimum qualifications: - PhD in computational biology, quantitative biology, genomics, bioinformatics
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research, and pre-clinical models of disease. The candidate must hold an earned MD, MD/PhD, or PhD degree, and be qualified for appointment to a faculty position at Stanford University. The position will be
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the university can build on its culture of academic collaboration to make a global impact. Successful candidates will have a PhD in Bioinformatics, Biomedical Informatics, Computer Science, Statistics, Chemistry
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Scientist. The successful applicant should hold a PhD or equivalent credentials in a relevant discipline, be working at the Assistant, Associate, or Full Professor level or equivalent. The ideal applicant
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applicant will lead a Bioinformatics research program focused on the development of cutting-edge approaches for analyzing genomic or proteomic data. In addition to establishing an active research program
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of normal and diseased lung biology. We also encourage applicants who are pioneering novel technologies to explore and visualize dynamic cellular processes, bioinformatics, genome editing, blastocyst
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King Abdullah University of Science and Technology (KAUST) | Saudi Arabia, | Saudi Arabia | 2 months ago
Bioinformatics (generative protein design) Methodology (machine learning, deep learning, and AI) for analysis and prediction of genotypic variation Methodology (machine learning, deep learning, and AI
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Université de Sherbrooke, Service des ressources humaines | Sherbrooke East, Quebec | Canada | 3 months ago
, systems biology, synthetic biology, structural biology, bioinformatics and/or omics technologies. Plant Biology Profile – molecular and cellular biology of plant systems, including, but not limited