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., Python, PyTorch/TensorFlow, C/C++ as appropriate) and experience with large-scale data analysis. Demonstrated ability to develop novel AI methods and adapt them to complex scientific problems. Ability
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quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML development Independent
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systems, ZKPs, systems security, or AI security. • Strong publication record or clear evidence of research productivity. • Ability to implement and evaluate security prototypes (e.g., Rust/Go/C++/Python
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skills (Python preferred), with familiarity in GPU or distributed computing environments. • Experience with biomedical or neuroimaging data is advantageous but not required. • Excellent analytical, writing
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English
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organisational abilities for project planning, data analysis, manuscript preparation, and grant writing. Have a good understanding and knowledge in statistical methods using R, Stata, Python, or SPSS. Appointments
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for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society. For more details, please view: https://www.cares.cam.ac.uk/research/clic/ We are looking
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photonic design Proficiency in Ansys Lumerical, Tidy3D, Python, MATLAB, and GDSfactory Strong written and oral communication skills Ability to work independently under strict timelines with excellent