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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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experience with Python/R. Evidence of manuscript and/or report writing.
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investigated include exposure to fire and critical static and dynamic loads. The methodology will be based on finite element and scripting software such as ABAQUS and Python. The project will be supervised
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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. Essential Functions Python Proficiency. Azure DevOps Experience. Front-end UI/UX Skills. Database Management. API Integration and Development. Proficiency in image management and machine/deep learning related
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. Strong programming skills with proficiency in Python and/or C++, and practical experience with deep learning frameworks such as PyTorch or TensorFlow. A track record of high-quality research outputs
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and language interfaces Full-stack development experience (front-end & back-end integration, database management) Proficiency in Python applications Experience in collaborative HE/industry projects Why
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programming languages such as Matlab, Python, C/C++. Familiarity with cloud computers. Experience with MRI and medical physics. Desired Qualifications* Familiarity with Docker and Kubernetes, and their
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written