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particular simulation-based inference), strong programming skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome
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control. High proficiency in programming (C, C++, Python, MQTT, Matlab, among others) and dominance with industrial communication protocols such as ModbusTCP, OPC-UA, among others. Knowledge in digital
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Python is a plus. You hold a FELASA certificate (animal research) or are willing to obtain one in the first year of your contract. You are punctual and accurate with strong analytical and problem-solving
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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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. Additionally, you must have: Very good academic performance in previous studies. Solid knowledge in automatic control and systems theory. Good proficiency in programming (e.g. in C, C++, Python, Julia, or Matlab
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Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong
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, Graphic Design, Greenhouse Gas Accounting, Microsoft Excel, Oral Communications, Python for Data Analysis, Quantitative Analytics, Service Oriented, Tableau (Software), Teamwork Orientation, Technical