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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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and/or distributed systems techniques. • Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. • Demonstrated hands
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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reviews or reports. Proficiency with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration
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instrumentation and experiments. Proficiency in scientific programming and data analysis (Python preferred; experience with NumPy/SciPy, Jupyter, version control). Experience with C/C++ or MATLAB is a plus
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to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental research in the field of ultracold molecules is highly desirable, especially
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(python, C++, bash scripting…) for the modelling of molecular crystals. To work closely with other experimentalists in the consortium and support experiments through computations. To help develop and build