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to explore the devices produced; • Engage with a team made of researchers and engineers working at INL to integrate such devices at system level, either by combining them with discrete electronic circuits
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biology, especially with neurons. Interested parties should send an email to centd.vagas@butantan.gov.br, with the following documents: 1) letter of interest; 2) curriculum vitae; 3) copy of the doctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Experience Previous laboratory experience and general laboratory skills are required. Excellent computer and communication skills are essential. Preferred Qualifications, Competencies, and Experience
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of existing and emerging networks and communication systems, with a possible starting date in January 2025 (or later). The group’s research builds upon the areas of system, network, information, and computer
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our institutional commitment to ensuring BU is inclusive, equitable, and diverse. Review of applications is ongoing and will continue on a rolling basis until the position is filled. Please direct email
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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; (ii) synthesis and study of unconventional superconductors, 2D quantum materials, and strongly correlated electron materials; (iii) the attempts to discover new and superior superconductors, leveraging
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rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and
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demonstrated contributions to publications in top tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction