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Field
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: Python (including PyTorch and TensorFlow), Julia (including Flux and CUDA), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience
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in aberration-corrected STEM and EELS. Background in Python or MatLab. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
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QUALIFICATIONS: PhD (or equivalent) in biology, applied mathematics, statistics, computer science or related field. A proven track-record of peer reviewed publications, and programming experience in Python or R
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, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing
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be completed. Preferred Qualifications Expertise in Bash, Python, and R Experience with bacterial genomics, particularly with SPAdes, Prokka, Roary, RaxML, Kraken, breseq, and iTOL. Ability to work
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, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python, and Adobe Illustrator is a plus. Experience training other laboratory members in the techniques listed above. Responsibilities
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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. Familiarity with Python programming. Experience with modern software development practices to ensure code quality. Experience with computational geometry. Excellent written and oral communication skills