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responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents
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within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based
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Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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and ML packages with a Python programming environment. Ability to troubleshoot complex biochemical assays, identify causes of non-specific amplification and design appropriate controls. Ability to plan
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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, preferably in Python, MATLAB, C/C++, or related environments. Proven research track record through peer-reviewed journal publications and/or conference presentations in relevant areas. Experience in