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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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techniques (e.g., transcutaneous magnetic stimulation, near infrared spectroscopy, evoked potentials, electromyography) would be an asset Experience in utilizing programming/coding such as Python or Matlab
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spectroscopy, evoked potentials, electromyography) would be an asset Experience in utilizing programming/coding such as Python or Matlab would be an asset A clinical background (e.g., physical therapy
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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or machine learning. Strong programming skills in Python/R. Solid foundational knowledge in human genetics and genomics. Experience working with next-generation sequencing data. Baylor College of Medicine is
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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documents. A well-qualified candidate will also possess: Advanced scientific programming skills using a variety of computer languages, including but not limited to Python, C, C++, and Fortran. 5 years
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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, with a strong background in solid state physics, quantum magnetism, surface science, and/or nanoscience Experience with scanning probe microscopy and programming in Python Hands-on experience with ultra