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Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to
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desirable: Earth, Physical, and/or Computing Sciences, Carbon Cycle Science, mathematical modeling, programming in a compiled language like C or FORTRAN95, scripting with python or R. Location: Goddard
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
description is available on the LCAU’s Website: https://lcau.mit.edu/positions Job Requirements REQUIRED: Master’s degree in architecture, urban design, urban planning, geography, or a related field; a minimum
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over time, enabling fine-grained modelling of learning processes. Methodologically, the project will involve statistical modelling in R and/or Python, with a focus on continuous-time structural equation
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functional MRI approaches for studying human brain function. Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong record of peer-reviewed publications and productivity beyond
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development designing cloud-based applications in Python / Go / Typescript using modern deployment methods (e.g., Kubernetes, Terraform, etc.), designing software for randomized experiments, and designing
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python