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Field
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate
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, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational
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. ● Computational skills is a plus (e.g., experience with computational modeling, AI models, familiarity with Python, etc) ● Familiarity with EEG, Brain-Computer Interfaces, biofeedback systems, or biomarkers
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. Python, MATLAB) Strong knowledge of sustainable cities and local energy communities, V2G and flexibility markets, policy and market issues relating to local energy communities in the EU and the UK
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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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theory (market structures, competition, strategic interactions, bidding, consumer cooperative and noncooperative behaviour, game theory) plus proficiency in programming (e.g. Python, MATLAB) Strong
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related discipline. Solid experience in engine system modelling, simulation, or calibration using platforms such as GT-Power or AVL tools. Strong programming and data processing skills in MATLAB, Python
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic