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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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for data acquisition and analysis (e.g., MATLAB, Python, Prism/GraphPad, EEG scoring software). Strong organizational, written, and oral communication skills. Ability to work independently and
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taxonomy in AI-assisted workflows Prototype and test automated classification scripts (Python/R) Document data pipelines and QA/QC procedures Supervision & Training Mentor PhD-level and undergraduate RAs
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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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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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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