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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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expertise in mouse metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis
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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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data science. Fluency in English and Python are required. Fluence in Rust/C++, experience working with deep learning software stacks, extensive software development experience, and knowledge of machine
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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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-stationary environments. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling deep generative
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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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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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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apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of single nanoparticles