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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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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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Stata; Knowledge of R, Matlab, Python, and/or Fortran; Experience working with micro data, ideally administrative or matched employer–employee data; Documented research track record at international level
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility
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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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. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
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Job Description Are you passionate about digital design, open-source software, and educational innovation? The Edu4chip project (https://edu4chip.github.io/ ) is seeking a full-time scientific
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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skills, particularly in Python, and experience with image analysis and visualization tools. Familiarity with deep learning approaches for segmentation and data processing. A collaborative mindset and
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Programming experience (e.g., Fortran, Python, shell scripting) and HPC workflows Experience working with operational forecasting systems and advisory tasks We are looking for a researcher with a strong