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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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technical depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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, scientific reasoning, reinforcement learning, or distributed systems). Strong programming skills (Python, C/C++, or equivalent) and experience with ML frameworks (e.g., PyTorch). Preferred Qualifications
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written and oral communication skills. Experience with MPI, OpenMP, parallel I/O (including HDF5), CUDA and/or OpenACC, Fortran, C++, Python. Motivated self-starter with the ability to work independently
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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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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD in engineering, materials science, physics, or a related field. Proficiency in Python, LabVIEW, MATLAB
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data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient
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using Elastic Stack. Strong analytical skills for evaluating data sources and communicating findings. Ability to create ad hoc scripts (Python, PowerShell, Bash). Familiarity with reading and interpreting
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certifications (e.g., CISSP, CySA+, GCIA, GCIH). Four (4) or more years of relevant cybersecurity experience. Familiarity with SIEM integration and Elastic Stack. Experience with automation or scripting in Python