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Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental, or climate data is advantageous but not required. What We Offer
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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programming skills in Python and/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Excellent problem-solving, organizational, and communication skills Demonstrated
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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in Python are essential, along with good writing and communication skills in English. The ideal candidate should demonstrate initiative and be comfortable working collaboratively in a team setting. A
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aeroelastic code HAWC2. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc). Ability to work both independently and as a part of a team. Excellent communication and writing skills
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. Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal
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with AI/ML implementation, particularly for sensor data processing, feature learning, or autonomous system control Solid software development skills in languages such as Python, C/C++, or similar, with
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knowledge of C++, Python, and R. Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants