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discipline. Strong background in machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation
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-science or computational background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with
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vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research. Independent, highly analytical, proactive, and a strong team
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fields. Strong knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks
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students within the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary
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. Demonstrated experience with publications in top-tier journals and conferences. Proficiency in programming languages commonly used in deep learning such as Python and familiarity with frameworks like TensorFlow
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; familiarity with optimization algorithms is highly desirable Excellent programming skills in Python, C++, Java, Julia, or other relevant languages Knowledge of maritime decarbonization and alternative
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, Python programming, high-performance computing, and computational chemistry will be preferred. This position is a full-time, benefits-eligible position. Interested applicants should submit a cover
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models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research Apply Now Job Alerts Link
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
concurrent projects. Knowledge of Python or R is preferred. Ability to analyze multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would