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to develop robust, scalable data analysis and predictive classification workflows for high-performance computing environments. Contribute to JGI strategic milestones related to AI-driven functional genomics
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representative to the Board of Advisors, alumni, donors, and industry leaders. Build and sustain high-level partnerships across journalism, business, and philanthropy. Represent the program in senior-level
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 11 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community. Please note that
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or TensorFlow. Advanced programming and high-performance computing skills, including proficiency in Python and/or C/C++, experience with GPU acceleration, and the ability to develop, test, and maintain research
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project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a recognised doctoral degree or
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Job Description Job Alerts Link Apply now Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer
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collaborative/transdisciplinary/team research. Additionally, there will be opportunities for the participant to expand their data science skills. Further learning opportunities could include high performance
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parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims