109 assistant-and-professor-and-computer-and-science-and-data "DIFFER" Postdoctoral positions
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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). Technical supervision on data analysis, statistics, and database management will be provided by the Assistant Professor of Agricultural Statistics (WTAMU). Required Qualifications: A doctoral degree in
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We are offering an exciting opportunity for a Postdoctoral Fellow/Research Associate to assist with multiple areas of the low-carbon materials research programme. In this project, you will assist
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data
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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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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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engineering, with applications in energy systems and other natural and engineered networks. Additional Information: Hiring Salary: $61,800 Application materials should include: - Cover letter outlining your
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engineering, or a related field (for postdoc); a master’s degree is required for research assistant level. Strong knowledge of process modeling and integration principles, including mass and energy balances and