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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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including Business Analytics Fundamentals, Python Programming, Machine Learning, Data Visualization, Business Data and Big Intelligence, Business Statistics for Data Analytics, and Generative AI, aligned with
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the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . We are seeking a senior technical contributor responsible for architecting
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
support services. The hired engineer will be a member of the KerData Inria team (https://team.inria.fr/kerdata/ ) led by Gabriel Antoniu. KerData is a joint research team of Inria Rennes - Bretagne
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
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arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https
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LevelBachelor Degree or equivalent Skills/Qualifications Specialized studies in the field of physics Good knowledge of the following programs: Python, LaTeX, Assembly. Specific Requirements Candidates must
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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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software. Expert-level knowledge of MATLAB and Python (or equivalent) for data analysis and simulation. Ability to work a non-standard work week as required to support project deliverables and schedules
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(https://sites.lsa.umich.edu/brang-lab/ ) under the direction of Dr. David Brang, but this is a collaborative project among multiple labs at the University of Michigan and the University of California, San