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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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Your profile The successful candidate will pursue a second book / "Habilitation" research project, teach courses, contribute to the Department's profile areas "Premodern History" and "History
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technologies for deep molecular insights. Additionally, you will present your findings at national and international conferences, mentor junior researchers in the lab, and contribute to high-impact publications
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. Topic / Area: The positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in
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evolution. Organizational and social skills Deep scientific curiosity and a commitment to understanding the mechanisms underlying leukemogenesis. Strong collaborative and communication skills, with
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opportunity promises deep academic inquiry, industry collaborations, and the chance to influence future practices and research directions in these fields. Key Responsibilities: Develop robust mathematical and
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materials. Practical experience in fabricating 2D materials and a deep understanding of their structure-property relationships are highly desirable. You should also have expertise in advanced characterisation
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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field with a strong background in AI, machine learning, or deep learning). Demonstrated experience with CFD and/or FEA, particularly in biomedical applications preferred. Proficiency in programming