32 parallel-computing-numerical-methods research jobs at University of Texas at Dallas
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Posting Details Posting Details Posting Number F00901P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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Posting Details Posting Details Posting Number F00901P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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such as Western blotting, PCR, immunohistochemistry, and microscopy is also expected. Experience with bioinformatics or computational biology tools is highly recommended, though not required. This is an NIH
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Strong analytical and problem-solving skills Excellent written and verbal communication abilities Proficiency in a wide range of laboratory techniques and data analysis methods Competence with computer
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments
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the thriving Center for Advanced Pain Studies, offering rich opportunities for collaboration with numerous other postdoctoral fellows, trainees, and faculty. Additional guidance is provided through university
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or related fields PhD graduates of UT Dallas’s Bioengineering program is highly preferred Other Qualifications To the extent this position requires the holder to research, work on, or have access
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summarize relevant studies; Collect, organize, and maintain research data using various methods (e.g., surveys, interviews, observations, laboratory experiments, neuroimaging). ·Data Analysis: Code, enter
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real time Maintain accurate laboratory documentation using established methods Other duties as assigned Essential Knowledge, Skills & Abilities Function independently to organize and conduct highly
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integration methods across disparate data streams. Essential Duties and Responsibilities Position will collaborate with scientists on developing independent research studies in brain health by: Analyzing large