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, experience with using Abaqus, user subroutines, and Python scripting. Qualifications: Must have a Ph.D. or equivalent; be able to undertake substantial full-time research and scholarship; working under the
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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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Programming experience: Python, MATLAB , SPSS , Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to
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Python is required (Candidates will be expected to pass a basic programming test in Python). Excellent written and verbal English skills, strong communication and interpersonal skills, and the ability to work within large collaborative teams. Requisition ID: 25797 Apply now
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expertise in R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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external) . Position Overview : We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job
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architectures. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted
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informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools (Python, PyTorch/TensorFlow, radiomics, 3D Slicer, DICOM tooling). We
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection