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, StrokeCog can leverage CANTRAIN’s online tools, learning-management systems, training programs and its college of mentors. Applicants apply to the StrokeCog fellowship program through the CANTRAIN portal
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objectives and mandate, inform decision-makers, and, in certain cases, address specific needs of its partners. Learn more about joint initiatives . For a complete list of available supplements and joint
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. To support this effort, the NOMIS Foundation and GIND have established the NOMIS–Gladstone Fellowship Program, which aims to teach outstanding postdoctoral scholars how to creatively combine leading-edge
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. The qualifying project will be carried out at the University
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
mentor, you will engage in cutting-edge research activities to learn how to develop and implement artificial intelligence-enabled systems for surveillance and inspection. Key activities will include
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· Good problem-solving and time management skills, ability to design and conduct independent research, learn new techniques, knowledge of the literature, critical interpretation of data and clear data
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Part time (80%FTE) The Post The project aims to intervene in the steep decline in Anglophone language-learning by identifying the elements underpinning successful cultures of language-learning
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and the ability to publish high-quality academic outputs. You are expected to have proven experience in developing and applying predictive deep-learning models for data-driven analysis and forecasting
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. This role is well suited to researchers who are eager to learn new approaches, work collaboratively (Grades E & F), and develop long-term expertise in climate science within a supportive research environment