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. Experience in power system analysis (e.g. with PyPSA) is meritorious. Proven experience in programming languages (e.g. in Python), and in best practices for code management and documentation. Additional
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
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programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious
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academic progression More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be