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Field
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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, Python, Java) and good communication, interpersonal, and problem-solving skills are also required for this role. This role meets the eligibility requirements for a skilled worker certificate of sponsorship
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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techniques, high-speed imaging, experimental design, and programming for data processing (e.g. MATLAB, Python) will be considered a strong asset. LanguagesENGLISHLevelExcellent Additional Information Benefits
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Postdoctoral Fellow to contribute to building computational
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning