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Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be
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such as Python, C++, and MATLAB, scientific computing libraries, geospatial/HDF5 data formats, APIs, containerized environments, automated testing frameworks, and version-controlled collaborative
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California State University, San Bernardino | San Bernardino, California | United States | about 11 hours ago
to intermediate proficiency in Python, essential for tasks involving data manipulation and analysis. - Interest in AI/ML models, with exposure to or a desire to engage deeply with data analysis techniques
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backend work in Go and Python, including connectors, transformations and event-processing services. The postholder will hold a Bachelors Degree and/or equivalent experience About the Department
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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housed in the Department of Physics at Drexel University. This position is grant-funded; employment is contingent upon the continued availability of those funds. Essential Functions Write python code
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of experience working as a test/software engineer, or equivalent experience Comfortable writing code and building automated test frameworks (preferred languages: C#, Python, C, Rust) Knowledge of IEC 62304
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operations. Knowledge and understanding of BIND DNS, Linux systems and automation tools (Ansible, Python) would be an advantage. About Monash University At Monash , work feels different. There’s a sense of
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to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning