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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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, statistical analysis, and comparison of experimental results with theoretical predictions. Analytical and Problem-Solving Skills: Strong analytical thinking with the ability to troubleshoot complex experimental
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. Experience with laboratory and field testing of sensors or similar devices, including performance evaluation. Proficiency in data management, statistical analysis, and comparison of experimental results with
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-Conscious Environmental Flow Management Nikola Surjanovic Doctor of Philosophy in Statistics (PhD) Scalable Bayesian Methods for Sampling From Complex Probability Distributions Davi de Ferreyro Monticelli