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Field
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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simulations on High Performance Computing, the ability to analyze and organize large datasets or model outputs, knowledge of Unix/Linux, and experience with commonly used software and protocols in
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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Job Requirements REQUIRED: PhD in engineering that includes domain-specific expertise in manufacturing, processes or systems preferred; teaching experience in higher education settings in STEM fields; proficiency in evaluating the effectiveness of learning materials; strong track record of...
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Psychology, Human Factors, Educational Psychology, Cognitive Sciences, Modeling and Simulation, Computer Science, Measurement and Statistics, or a related field is required. The candidates must have research
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comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees