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, Mechanical Engineering, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High
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, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High proficiency in English
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing
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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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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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: Proficient with mass spectrometry, quantitative proteomics, cell surface proteomics, concepts of automated sample preparation, scripting with R and/or Python. Preferred Education: Master's degree If any degree