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networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical and problem-solving abilities. You have
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/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical and problem-solving abilities. You have knowledge of 5G or beyond-5G network
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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laboratory Co-authorship on a research article or manuscript in preparation First-author presentation at a research conference -Experience with coding (ideally in Python) and statistics, and affinity
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in complementary methods such as ICP-MS, XRD, XPS, SEM, TEM, EDX Scripting in Matlab, Python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will
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workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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Visualization, Diversity Sensitivity, Energy Sectors, Executive Summary, Graphic Design, Greenhouse Gas Accounting, Microsoft Excel, Oral Communications, Python for Data Analysis, Quantitative Analytics, Service
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO