1,976 parallel-and-distributed-computing-"UNIS" Postdoctoral positions in United States
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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day-to-day program lead for an observational or intervention study Two years of related experience in data analysis and/or management Documented experience in manuscript preparation, submission, and
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: Education: PhD or PsyD in Clinical or Counseling Psychology, or completion of all degree requirements, including a one-year full-time internship from an APA-accredited program. All degree requirements
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Agricultural and Resource Economics (more...) Food Science Animal Science Applied Ecology Computational Science Atmospheric Sciences Renewable Energy Biological Engineering Behavioral Ecology Biostatistics
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation
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. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials