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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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and report project progress. Ability and willingness to work some flexible hours. Strong interest in systems research Strong programming skills in C++, Golang, or Rust and Python We regret that only
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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., TensorFlow, PyTorch) and transfer learning models. Proficiency in Python programming and handling medical image datasets. Strong understanding of computer vision, CNNs, and attention mechanisms. Experience
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to the position, including demonstrated independent research and peer-reviewed publications. Proficiency in statistical programming (e.g., R, Python, or similar) is a requirement, as is fluency in spoken and
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have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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, multi-task and pay attention to detail. Relevant research experience, knowledge of statistics, and familiarity with programming languages (e.g. R/Python/Matlab) are highly desirable. Prior experience
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics