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multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods, programming, etc
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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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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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magnetron sputtering Scripting in python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will do Perform research in our group (sample preparation
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combining qualitative and quantitative analysis Familiarity with R, Python, or similar analytical tools. Experience with text analysis and survey methodology Knowledge of energy, climate, or sustainability
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in multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in