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Field
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used to benchmark wildtype versus disease-derived mutants
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development in a stimulating, supportive, and mentored environment. At a minimum, responsibilities will include assisting with the design and execution of research studies; analyzing datasets; preparing
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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on the MobilityNet project funded by the NSF (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2411151 ). The objective is to assess the suitability of the tools being developed for transportation planners. This will
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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modern research topics, enabling the development and enhancement of professional competences and international collaboration. Required application documents: academic curriculum vitae (download file no. 1
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar