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Ph.D. in science (chemistry, physics, biology, etc.) or engineering required 7+ years of experience in computational physics or related area Proven experience coding in C/C++, Fortran, and/or Python
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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: BIOE 002: Fund Molecular Biology BIOE 021: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed See catalog for course
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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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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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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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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
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Sensitivity, Energy Sectors, Executive Summary, Graphic Design, Greenhouse Gas Accounting, Microsoft Excel, Oral Communications, Python for Data Analysis, Quantitative Analytics, Service Oriented, Tableau
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this application process. Go to http://www.umjobs.org Click on "Login" (upper right corner). Use your umich uniqname and password. Click on "U-M Graduate Student on the Ann Arbor campus," identifying yourself as a
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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