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programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial
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certificate, IELTS or TOEFL). Programming skills (e.g., Python, C++, Rust). Interest in collaborative research with both academia and industry. Qualification requirements The eligibility criteria
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either explainable graph machine learning or privacy-preserving graph learning. Willingness to develop expertise across the other area. Strong programming skills in Python, with experience using tools
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. Familiarity with programming languages such as MATLAB and Python, and the ability to work with large imaging datasets Excellent communication and presentation skills, with the ability to prepare high-quality
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, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design
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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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Python for the implementation and investigation of mathematical models and numerical methods • Ability to work independently and collaboratively in an interdisciplinary research environment • Enthusiasm
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
programming (MATLAB, C++, Python, R, etc.) • Experience with MR physics and/or pulse sequence programming (Siemens or Bruker platforms) is preferred but not required • Experience with machine learning
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
Biology, Bioinformatics, Systems Biology, and Statistical Genetics. • Proficiency in at least one programming language such as Python, R, Julia, C/C++, and Matlab. • Strong interest in network science