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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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., Python, cloud platforms) Ability to work independently and across interdisciplinary teams Experience in sensor data fusion, automation, or robotics in construction is a plus Familiarity with IDD, DfC
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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/ ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation
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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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will be advantageous. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing
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related work. Strong programming skills in Python for data analysis, modelling, and decision‑support tool development; proficient in SQL for data querying and transformation Possess understanding
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant
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the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering