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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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proposals for competitive funding agencies or organizations Works in the field gathering data -e.g., distributional data, measurements, species samples. Performs other job-related duties as assigned
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software. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which
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environment. The mission of the center is to adopt a transdisciplinary approach to advance research and education in quantum computing and algorithms, quantum materials for next-generation technologies, and
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, including ability/interest in developing control methods. Advancing and testing adaptive control techniques on UAV systems. Development and implementation of control algorithms (including simulations
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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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, including research related to the NSF SMART FIRES grant. Develop machine learning algorithms Apply data science techniques Actively contribute to an interdisciplinary research team. Publish findings Required
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computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a
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analyzing large, multi-dimensional datasets. Experience with both spatial and temporal statistics, including experience with non-normally distributed data and statistical analyses including regressions, t
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives