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python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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environment on molecular design projects Skills with python, PyTorch and OpenMM programs Required Application Materials Cover letter CV Names and contact information for 3 professional references
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method. Proficient in python and C++ programming language. Special consideration will be given to candidates who are familiar with the open-source finite element library FeNiCS, brain finite element
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independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
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methods to biological systems Proficiency in Python programming Excellent written and verbal communication skills First-author peer-reviewed publication(s) Desired Qualifications Experience
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ultrasound, wearable and accelerometry-derived loading or physical activity analytics, gait biomechanics, or circulating biomarker analysis. Programming proficiency in R, Python, or MATLAB. Experience with
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Minimum Requirements 1. A PhD in Mechanical, Civil, Materials, Aerospace Engineering (focus on solid mechanics, dynamics / vibrations). 2. Proficiency in Matlab and/or Python. 3. Experience in Finite
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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Python and R programming for statistical modeling, data visualization, and integration of large-scale genomics datasets Participate in the design of strategic data acquisition plans to support ongoing