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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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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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visual perception. Good programming (Python) skills are required along with a good understanding of empirical methods and ways to connect empirical findings with model behavior. The position also
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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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-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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. Evaluate the nutritional value of fermented rapeseed meal and seaweed products and assess their effects on nitrogen (N) and phosphorus (P) excretion, methane emissions, and pig health. Evaluate
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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
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from Poleno Jupiters, applying Python and machine learning. The position will focus on implementing grass pollen (both generic grasses and specific grass species) and selected fungal spores such as
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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