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Research & Innovation (VPRI) to advance impact and excellence across the breadth of the university’s research enterprise. The VPRI will harness Texas Tech’s recent momentum to foster a culture of innovation
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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, computer science and technology, intelligent science and technology, among others. (2) Talent System and Benefits Position Term of Employment (years) Annual Salary (CNY, pre-tax) Researcher 5 500,000-600,000
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are its educational program, robust bereavement program and care-coordination with both home health and palliative/ hospice home-based program s . This position will also play an essential role in
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts
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research reputation, a proven record of academic leadership and the ability to lead an innovative research programme in the School. Full details about the position can be found here . Interested candidates
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miniscope recordings. This position is ideal for a collaborative person who is interested in combining both experiments and computation, with some experience and comfort with both animal behavior and neural
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from you. Dayshift Minimum Education and/or Training: High school diploma/GED Completion of a Nursing Assistant/Medical Assistant program required or completion of foundations of nursing from
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
process and results. The successful candidate will contribute to discovery-driven computational studies of unprecedented multi-omic datasets obtained from children with malignant brain cancer, including