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DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and
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using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated
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. Proficiency in MATLAB, Python, LabVIEW, or similar tools for data analytics and visualization. Experience in machine learning, anomaly detection, or predictive analytics for industrial applications is an
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technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a
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, AI for Healthcare as well as Hospitality & Tourism. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
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/205), ETSI GS QKD, ITU-T X.1702, ISO/IEC. Proficiency in programming languages such as Python, C/C++, or Java; familiarity with cryptographic libraries (liboqs, OpenSSL PQC, BouncyCastle). Strong
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-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception
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, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including