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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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details, please view https://www.ntu.edu.sg/cus We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in
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: Preference will be given to candidates with knowledge of Python programming, web technology development, and data management in IoT environments, particularly those with experience in Kibana, Apache Kafka
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ineligible for visa sponsorship. This is a hybrid position requiring at least 3 days per week onsite. Responsibilities Develop and maintain web applications using technologies such as Python, JavaScript, HTML
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, including an application to one of the Universit of Vienna doctoral schools (e.g., CoBeNe, https://vds-cobene.univie.ac.at/) within 12–18 months. As a University Assistant (Praedoc), you will become part of
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SCIENCE & TECHNOLOGY For further information about SSET, please visit our website: https://www.rmit.edu.vn/about-us/schools-and-centres/school-of-science-engineering-and-technology ABOUT THE ROLE
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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. Additionally, you must have: Very good academic performance in previous studies. Solid knowledge in automatic control and systems theory. Good proficiency in programming (e.g. in C, C++, Python, Julia, or Matlab
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. Proficiency in Python and either PyTorch or JAX Experience with HPC, GPU is preferred Related Skills and Other Requirements Ability to collaborate on multidisciplinary research in a collegial environment