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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in
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; designing knowledge-graph-based data models for integrating diverse urban, forest, and market data; developing AI-based forecasting and scenario-simulation pipelines that combine machine learning and
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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models, and data processes. This role requires advanced data science and machine learning expertise, proficiency with Python ML libraries, strong SQL programming skills, experience with data pipeline
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
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crystal structures. Present your work at international conferences and learn about state-of-the-art methods in machine learning, explainable AI, counterfactuals and generative AI for material sciences. Take
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balance fails in disease or injury and how it might be restored. For more information on our research interests, please visit https://www.zhulab.fish The lab uses larval zebrafish as a tractable and
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Conocimientos de programación de nivel medio a avanzado (lenguaje preferido: Java). Conocimientos básicos sobre machine learning. Capacidad para redactar artículos científicos de alta calidad (por ejemplo, tesis
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models