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related fields. Proficient in common programming languages such as Java, C/C++ and Python. Experience in developing and implementing Machine Learning and AI algorithms. Good written and oral
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 17 days ago
, PAVICS and Python is required ▪ Knowledge of THREDDS and Java would be an asset ▪ A strong commitment to upholding pillars of equity, diversity, and inclusion ▪ Fluency in French and English is an asset
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months. • Experience with one or more general purpose programming languages such as C/C++, Java, or Python. Additional or Preferred Qualifications • Experience (academic or work related) in one
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end users Proficient in programming or scripting languages, including Python, C++ and Java Script Ability to work independently on multiple streams of research and collaboratively across multi
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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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open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling
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communication skills Proven publication record in privacy, security, blockchain, and trust related conferences and journals Be familiar with the following programming languages: C/C++, Python, Java, and GO Ability to
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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