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ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python for software and
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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combining qualitative and quantitative analysis Familiarity with R, Python, or similar analytical tools. Experience with text analysis and survey methodology Knowledge of energy, climate, or sustainability
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in multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods
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to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8228-NICCHE-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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. This includes collaborating with internal and external partners on data sharing and writing production-quality Python code to parse, validate, and transform microscopy image data from published research papers
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, and computer scientists to ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason
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of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at
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, or related fields. Strong programming skills in Python. 0–3 years of relevant experience. Experience building data processing pipelines (ingestion, cleaning, transformation, feature extraction, evaluation