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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
: 305754 Vacancy ID: PDS004630 Position Summary/Description: About the Group: Our research group is dedicated to developing innovative datasets and modeling approaches to support drug development and
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develop and refine mathematical models of microbial interactions capable of predicting dynamics of engineered communities, and implement computational simulation, design, and inference frameworks
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is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or