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in English. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision
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communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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theory, market structures, game theory, and programming skills (e.g. Python, MATLAB), alongside a deep understanding of policy and market issues related to local energy communities in the UK and EU. We
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proficiency, particularly in Python Experience with or strong interest in, Language models (SLMs/LLMs), Agentic AI systems, Deep learning architectures, Multimodal AI (e.g., text, time-series, sensor data
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
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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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, Python, SQL). • Strong written and verbal communication skills. • Highly organized and able to work effectively independently as well as with a team. The following requirements will be considered as an
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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, Python, SQL) or statistical genetics tools. • Strong written and verbal communication skills. • Highly organized and able to work effectively independently as well as with a team. The following