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interpreted using Python and R. Many tasks are performed using Princeton’s high performance cluster computers. Data Collection and literature review: This position will give assistance to Princeton University
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seamless project operations Qualifications Essential MS or higher in Environmental/Civil Engineering or related field Experience with basic modeling and data science tools (e.g., Python, Biowin, ArcGIS
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Experience with basic modeling and data science tools (e.g., Python, Biowin, ArcGIS, Machine Learning, LLMs, etc.) Minimum 5 years managing projects in the water & wastewater sector (consulting, utilities
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transport, buildings, and industry sectors. *Experience with managing, processing and analyzing large datasets. *Strong programming skills, particularly Julia/JuMP and/or Python. *Strong scientific writing
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attributes; a) familiarity with the physical processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis.Candidates
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record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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internet tools and HTML. - Familiarity with standard social science data sources. - Experience with programs such as SAS, Matlab, and Python, LaTx, Unix/Linux is preferred. - A Master's degree is desirable
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, including generative A.I. and surrogate models, especially of convolutional and recurrent neural networks. Familiarity with Python, NumPy and PyTorch will be essential for this position. The computational
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. - Experience with programs such as SAS, Matlab, and Python, LaTx, Unix/Linux is preferred. - A Master’s degree is desirable but not required. Princeton University is an Equal Opportunity employer and all