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Field
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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capable, adaptable, and collaborative researcher with deep expertise in geochemistry, economic geology, or data science, and a strong interest in working across disciplines. The successful applicant will
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characterization of deep-water habitats, GIS spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and
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have: Experience in Python Experience with deep learning frameworks Interest in design and user test of explainable AI systems Interest in EEG High level of motivation and innovation Excellent
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of Smith-Magenis syndrome in nile grass rats. Responsibilities* Will perform surgeries on rodents to enable electroencephalographic and deep-brain recordings. Will then perform those recordings over
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of Dr. Li An, is seeking an undergraduate research assistant. The successful candidate will work with scientists and students to train deep learning models for detecting and identifying animal species in