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-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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companies. Writing well-documented, reproducible code and contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a
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and visualisation using Matlab, R and/or Python. Experience with task development, the acquisition and analysis of behavioural/neural data and computational modelling is strongly desired. Note that
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus
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programming in Matlab or Python or similar programming tools. At sea field experience and boat handling skills are an advantage and so is work experience with data bases and data curation. You must have strong
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treating research datasets, environmental data and experimental metadata. Experience with SciexOS is an advantage. Experience with Excel and/or data handling in R or Python is an advantage. Be
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platform-building experience (e.g., Python, JavaScript/HTML, APIs, Git, or experiment software) is useful, but we are looking primarily for research motivation rather than a purely technical profile
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and hands-on skills Preferred skills: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by
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science, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with