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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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genomics approaches. Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration. Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating
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in Python or MATTLAB Qualifications: PhD required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Joining the CMU team opens
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working at the intersection of material science, advanced manufacturing, and digital manufacturing Programming skills using Python or modern C/C++/C# Demonstrated experience conceiving and executing
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the use of MATLAB and python Manuscript preparation and ability to communicate research results clearly Knowledge, Skills, and Abilities Ability to multitask and work cooperatively with others
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(e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in engagement with major cultural heritage collections
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students. Demonstrated leadership/managerial and organizational skills. Full professional proficiency in one of the following languages: Python (including PyTorch and TensorFlow), Julia (including Flux and
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devices, nonlinear optics, or microwave photonics Working knowledge of simulation tools such as COMSOL or Lumerical for electro-optic modeling Desirable Skills Proficiency in Python-based data analysis