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, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect
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expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is
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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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disciplines or ten or more years of relevant experience. Proficiency in conventional MRI processing and analysis tools, including fMRIPrep, QSIPrep, AFNI, FSL, and/or SPM. Strong programming skills in Python
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
technical or management tasks related to the position entrusted to them by the Management, Management or Sub-Directorate. Where to apply Website https://www.irblleida.org/en/jobs/501/head-of-the-scientific
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, AWS, Azure, or comparable technologies. Proficiency with scripting and automation using tools such as Python, Bash, or similar scripting languages. Working knowledge of identity and access management
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Demonstrated experience applying computational and machine learning methods to microbiome data and protein sequence or structural data. Proficiency with the Python scientific and ML ecosystem and experience
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conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding
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, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools