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benchmarking tools About you: You have prior knowledge of programming in python and are familiar with machine learning (ML) libraries in python. You have a strong interest in machine learning (ML) and deep
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familiarity with Python, social network analysis using tools such as R), and be able to connect with social science questions and methods. The ideal candidate will conduct research at the intersection
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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– preferably including RSA or decoding analyses). Good programming skills are desirable for this position (e.g. Python or Matlab). This full-time post is available from 1 October 2025 on a fixed-term basis for 3
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focuses on utilizing Python, SQL, Azure Machine Learning, Power BI, and Power Apps to extract, analyze, and visualize healthcare data, with a primary emphasis on advancing cancer research. We invite
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research capability, and experience working within collaborative research environments are essential. Proficiency in Python and a solid grasp of planetary geological processes, especially those relevant
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in programming languages Java, C/C++ is a must with experience in other programming languages and/or frameworks such as Python, Spring. Proficiency with using common Linux distributions such as Ubuntu
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Python, Ruby, Javascript, and Unix/Linux shell Demonstrated experience and ability in building application software using web frameworks, and troubleshooting web applications Ability to communicate
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candidate should possess a knowledge of both time-series and frequency-domain analysis, as well as proficiency in Python or Matlab. Responsibilities include detecting cells and cellular organelles in image
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responsibly Interest and initial experience in software development with Python, Langchain, Langgraph, Chaintlit, TensorFlow, PyTorch, or similar frameworks Experience in developing backend and/or frontend