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final reporting. Background in at least one of the following areas is preferred: high performance computing, parallel and distributed computing, machine learning, or data analytics. The successful
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Hong at the Department of Biochemistry and Cellular and Molecular Biology (BCMB), the University of Tennessee, Knoxville (UTK). Work in the group involves using multi-omics data and machine learning
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problems that occur day to day are required. 6. Proficiency with computer software (e.g., Word, Excel, Photoshop, Dreamweaver) is required. 7. Ability to learn new programs to manage and maintain
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and primary files, managing data management systems, and using complex learning management systems. Excellent skill in computer applications including Word, Excel, PowerPoint, and Qualtrics survey tools
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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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Tennant on novel quantum magnetic phases, out-of-equilibrium phenomena, and application of machine learning. Candidates who have experience in neutron scattering, materials characterization and synthesis
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, machine learning, analysis of images, and statistical analysis. Knowledge of analytical techniques such as HPLC, NMR, wet chemistry, microbial sequencing. Skilled in proposal writing and successful
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linux operating system including supercomputing. Computer programming in python and C++. Ability to use Windows word, excel, outlook Discipline and positive attitude with ability to learn. Technical
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, parallel and distributed computing, machine learning, or data analytics. The successful candidate will possess excellent organizational, interpersonal, problem-solving and communication skills, including