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Field
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. Experience in developing xApps and rApps is an advantage. Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C
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., confocal and light sheet) and/or programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidates should be able to demonstrate excellent communication and presentation skills
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Computer Science) and the BRGM Data and environmental teams, to achieve the goals of the JUNON project before September 2026. The successful candidate has proven experience in Python development, data integration
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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five years. Proficiency in at least one of Python, C++, Fortran, or Julia. Ability to work effectively in an interdisciplinary team. Demonstrated written and oral communication of candidate-led results
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, or a related numerical field. Programming experience in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch