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Field
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transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using NetworkX, igraph, and Gephi for complex network and graph-based data exploration; Experience with research grant
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contribute to form their learning trajectories. To navigate and use multiple resources increases the complexity for students learning processes and demands for agency and cognitive efforts change. Today we
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School of Medicine is seeking highly motivated postdoctoral fellows to join our growing research team. About the Lab Our mission is to uncover the genetic and molecular basis of complex diseases and
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chronic illness. CEQL fosters interdisciplinary collaboration, mentorship, and innovation to address complex health challenges through rigorous scientific inquiry, implementation science, and community
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Research Institute (FBRI) at Virginia Tech Carilion (VTC). About the Lab The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate
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(ML), to help solve complex agricultural problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis
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and use multiple resources increases the complexity for students learning processes and demands for agency and cognitive efforts change. Today we have limited insight into students’ processes and
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will be supervised by Dr. Aline Talhouk and other co-investigators and senior lab members, with access to an international network of clinical and scientific collaborators. Key Responsibilities Develop
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Research Council of Finland project “NOISY: Toward Noise-Driven Communication for Secure, Energy-Efficient, and Low-Complexity Wireless Networks”. The NOISY project explores a bold idea: what if noise
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partners, and you actively maintain both your internal and external networks. You are skilled at identifying opportunities and engaging others with your ideas. Additionally, you can translate complex topics