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of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply. Proficiency in Python or similar programming
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datasets, registries, or electronic medical records • Strong knowledge of causal inference and comparative effectiveness methods • Experience using statistical software such as R, Stata, SAS, or Python
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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering
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command line Experience programming in Python, Matlab, or R Experience with ML frameworks such as PyTorch or with LLM APIs Understanding of ML fundamentals including regression, classification, neural
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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practical experience at large scale facility (e.g. SR, FEL) Knowledge of programming languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu
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programming languages and tools is required: Stata, R, Python, and LaTeX. Familiarity with NVivo, SPSS, GeoDa, and Mallet for computational text analysis is a plus. Solid knowledge of economic analysis as
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | about 2 hours ago
of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills LanguagesENGLISHLevelGood Research FieldBiological sciences » Biological engineeringChemistry
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datasets • Contribute to data processing and analysis (R/Python; training provided as needed) Research Operations • Maintain study documentation and regulatory materials • Participate in lab meetings and
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state of the art AI and analytic tools (e.g., Go, Python, Rust, Spark, PyTorch, TensorFlow) to create consistent and reliable software. You will utilize tools and methods such as continuous integration