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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
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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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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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, report progress and discuss research opportunities. Responsibilities Perform programming for research and report progress weekly. Required Qualifications Proficient in Python programming with a strong
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such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL 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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primary responsibilities will include cleaning and organizing raw image data, generating annotations, and implementing preprocessing pipelines using Python and OpenCV. You will also help construct and
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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