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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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skills relevant to modelling, simulation, and data analysis (e.g. MATLAB, Python) Essential requirements: Excellent written and oral communication skills in English Strong interpersonal and collaboration
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population surveys and randomized trials). Responsibilities: Utilize Python, R, and containerization (Docker, Kubernetes) to run computational analyses and automated data pipelines. Optimize data processing
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spectrometry, and untargeted data science workflows. Proficiency in chemometric methods and/or python programming will be an advantage. Candidates are expected to be enthusiastic and adaptable to working in
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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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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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries