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-scale datasets (e.g. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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