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well as with a team. He/she is preferred to have experiences in: Microfluidic design and fabrication MatLAB and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
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, or district energy systems. Experience with system optimisation and techno-economic analysis of energy systems. Proficiency in scientific computing environments such as Python, MATLAB, Julia, or Modelica
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and analysis (e.g., Python with pandas/numpy, R, Julia, or other suitable languages) and experience working with tabular datasets. Basic ML knowledge (baseline models, leakage-aware splits, ROC-AUC/PR
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to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages), as
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, liaise with vendors for servicing, and support software/IT needs for lab operations. Conduct training on electronic test equipment, programming languages (e.g., MATLAB, LabVIEW, Python), and data
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Good publications in related areas. Proficiency in basics of programming languages such as C, Matlab and Python Proficiency in English - essential for data analysis and communication with stakeholders We
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expertise (RGB, Depth Cameras) and deployment of machine learning models on embedded/edge systems for real-time industrial applications. Proficiency in Python and C/C++, with hands-on experience using deep
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, with the ability to translate complex data into actionable insights. Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization
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Python, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO/NCO). Should have strong quantitative and analytical skills in