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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
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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accepted for publication. Expected skills Proficiency in programming (R, Fortran, Python) and the ability to learn new programming languages, develop code, and analyze data. Knowledge of GIS tools and
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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experience (generally 5 years or longer) in atmospheric sciences; and Knowledge of Fortran, Python, R, Database (Postgres, MySQL, SQLite), Shell program language skills. Preferred Qualifications: Knowledge
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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Python is a plus. You hold a FELASA certificate (animal research) or are willing to obtain one in the first year of your contract. You are punctual and accurate with strong analytical and problem-solving
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licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications: MATLAB and/or Python Required Additional Knowledge, Skills
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production-quality Python code to parse, validate, and transform microscopy data from published research papers, public databases, and internal repositories. This role requires technical excellence in data