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analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
system and its components. ISSM is a modular C++ codebase with MATLAB and Python interfaces, designed to simulate Cryosphere, Solid Earth, and Sea Level processes, either in coupled or standalone
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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools
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Qualifications (Strongly Preferred but Not Required) Coursework or experience in data analysis, statistics, or programming (e.g., Python, R, MATLAB, SPSS). Students from computer science or closely related fields
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sites is required; Previous experience in lab analysis is considered an advantage; Knowledge in programming languages such as Python, R, or MATLAB, and experience in handling large datasets is considered
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility Research track record: Publications
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex