50 genetic-algorithm-computer-"UCL" Postdoctoral positions at Texas A&M University in United States
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Job Title Postdoctoral Research Associate in Computational Geophysics Agency Texas A&M University Department Geology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job responsibilities must be performed safely without injury to self or others in compliance with System
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, pathogenesis, and drug discovery. Expertise in molecular genetics, protein biochemistry and animal models is highly preferred. The ideal candidate will conduct high-quality research using advanced techniques in
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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to obtain access to NOAA Computational Facilities. This position is contingent on extramural funding. WHO WE ARE Texas A&M University-Corpus Christi is a vibrant, Hispanic and Minority Serving Institution
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the potential of targeting a haplolethal gene for effective genetic control of Ae. aegypti populations. The modeling aspect of the project will focus on developing computational models to analyze the intricate
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job
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Education Ph.D. in Microbiology, Molecular Biology, Cell Biology, Immunology, or Genetics. Preferred Qualifications Experience in microbiological techniques and biosafety level 2 practices Experience working
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for effective genetic control of Ae. aegypti populations. The modeling aspect of the project will focus on developing computational models to analyze the intricate dynamics of a homing rescue drive