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neural networks (GNNs), transformer architectures, foundation models, and large language models (LLMs). Experience developing reproducible biomedical software and AI workflows. Demonstrated success
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international standards in graduate education and is constantly improving its services in line with the needs and interests of doctoral candidates and postdocs. GRADE is to ensure the high-quality provision
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the possibility to extend for one year (3+1) ✓ Extensive research funding ✓ Membership in an excellent research network ✓ Additional management courses, trainings & networking events ✓ A broad methodological
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week) and can be done remotely, though an eastern-time-zone schedule is required for ease of communication. Primary Responsibilities Primary responsibilities include software development, coding, and
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for project resources and conference presentation: The Opportunity: This PhD stipend scholarship offers a unique opportunity for a talented candidate to define their own research direction within the field
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems. Implement methods into software that meets research needs, manage and update source
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 5 hours ago
analytical skills, teach students how to publish in top journals and enable them to build a strong global academic network. The first two years can also count toward the Master of Business Research and
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other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies Outstanding verbal and written skills. Organizational skills and attention to detail