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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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Excellent writing and communication skills Background in wireless communications, robotics, optimization, and ML/AI is a plus Good programming skills (C/C++, MATLAB, Python, etc.) Experience with platforms
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for independent research. Desirable Knowledge of optics and communications. Knowledge of quantum optics and quantum communications. Familiarity with programming (such as MATLAB, Python, etc.). How to apply If you
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or a related field; strong academic results and foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only
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prototypes. Python is essential, and Houdini’s VEX is also relevant to the project. Experience with other suitable languages will also be beneficial. Candidates should have an interest in working across
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(fluid dynamics) is highly beneficial Experience with statistical analysis, coding (R or Python), and digital modelling strongly preferred Willingness to travel (minimum to UK for experimental work