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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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science, e.g Python & R. Desirable experience in notebooks, markdown and revision control software such as GIT & Jupyter. About the Institute/Project The Centre for Trauma Sciences research team
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is
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modelling (FE) of externally bonded reinforcements and concrete. If possible, experience in programming (python, MatLab). Experience in scientific writing with proven track record. Very good English, German
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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, training, evaluation) Proficiency in C/C++ and/or Python for systems and AI development Ability to design and run experimental evaluations on real systems Excellent scientific writing and communication
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applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of