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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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or related field. Expertise in graph machine learning and demonstrated experience in multi-omics data integration. Strong programming skills in Python and its scientific and graph ML libraries (numpy, pandas
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degree and sufficient work experience would also be considered. Proficiency in Python for data analysis. Experience interfacing databases and R scripting will be an advantage but not required. Familiarity
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technology Experienced with engineering coding in Python and/or MATLAB Technical knowledge of camera hardware, such as RGB and thermal cameras Hands-on knowledge of drones and their operation, A1/A3 license
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English, both written and spoken. Additional programming experience is advantageous but not required: If you are not afraid to use python or R for analyzing and processing data, that’s a plus. As a formal
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Experience with Fortran, Python and Linux Shell Experience working with large datasets Preferred but not essential: Knowledge of wind farm parameterizations in mesoscale models Experience in the field of wave
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on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. However, powerful as it is, MagTense is at present limited in its
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: Master’s degree in Social Sciences Experience with data collection and analysis methods Strong analytical and problem-solving skills Proficiency in relevant research software (e.g., Stata, R, Python
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and robotics). Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued). Marine fieldwork experience with deployed platforms is an advantage. You must
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab