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the regeneration of functional dental and craniofacial tissues for disease treatment. Responsibilities will include designing, synthesizing, and characterizing new biomaterials; performing in vitro cell culture
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skills • Excellent verbal and writing communication skills. • Excellent programming skills (R or Python, Linux shell scripting) • Experience with high performance computing in Linux environment is required
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possess Experience developing or commissioning detector hardware and electronics. Data analysis at a major high energy physics experiment, analysis software development, statistical methods. Computing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
for computational method development, data analysis, and experimental design. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next
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of RNA polymerase and transcription complexes and/or ribosomes and translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in
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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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and type 2 diabetes. Comfortable writing code in languages like R or Python for bioinformatics/statistical analysis or proficiency in Unix shell scripting or high-performance computing. Familiarity
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issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
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Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic