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/ ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation
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solving and decision-making skills. Expert in SQL, Python, R, and Excel. Proficiency in relational databases with experience designing transformations, mappings, and working with reference table. Knowledge
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communication skills in written and spoken English. Proficiency in programming with high-level languages like Python. The following will strengthen your application: Familiarity with open quantum systems
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge
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but not limited to Stata and R. Produce summary statistics and conduct basic statistical analyses Writing scripts in python to automate processes and for webscraping Assist with data analysis and
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or more programming languages or statistical packages (e.g. Python, R, SPSS, SAS, etc.) Familiarity with data sources such as ICPSR, Mergent, Roper, Social Explorer, World Development Indicators,Â
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approaches in our investigation of encoding and retrieval processes underlying memory performance. Information about all of our research, including ongoing projects, can be found on our lab website at https