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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement
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automation, programming, scripting languages such as Python, and algorithm development. You will have extensive experience of software development / PhD in Computing or in Chemistry with a strong computing
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Engineering, or a related field Strong programming skills in Python and SQL; experience with C/C++ Experience in data modelling and dimensional modelling Experience with CI/CD workflows for data and software
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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to mitigate problems with underwater communication channels. Develop advanced signal processing algorithms for dynamic optical links. Program simulators and simulations with Python and MatLab. Write scientific
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and