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Field
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modelling. Experience in cybersecurity, including vulnerability assessment, threat detection, and incident response. Proficiency in programming languages such as Python, Java, or C++, and experience with AI
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab
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degree in economics, computer science, or another quantitative discipline (such as, but not limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning
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towards histopathology and spatial sequencing experiments. Extract RNA/ DNA from tissues and prepare sequencing libraries. Analyze spatial sequencing data using Python or R. Perform rodent neurosurgeries
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as
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deadline. It is a condition of employment that the master's degree has been awarded. Applicants must have strong programming skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must