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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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artificial intelligence (AI), machine learning (ML), and deep learning (DL) to the researchers’ data. Where applicable, you may develop new algorithms for DL. You should have a solid knowledge and
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learn about cutting-edge software technologies and methods in machine learning, network science, agent-based simulation, data science, and computational biology. The students gain a theoretical
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opportunities to teach and learn in accordance with department / organizational standards, policies and protocols. Readily accepts ownership of clinical area; demonstrates pride in appearance and ensures
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at the convergence of artificial intelligence (AI) and physics. The ideal candidate should possess expertise in physics-informed/constrained machine learning—topics including, but not limited to: Physics-informed
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on techniques in computer science, data science, bioinformatics, and machine learning, and applying them to biological questions in cancer, epigenetics, single-cell analysis, development, and genomics. We collect
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of computer skills Basic knowledge and skills using Microsoft Office 365 (emphasis on Outlook) Proven troubleshooting skills and ability to diagnose and resolve issues related to software, hardware
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candidate should possess expertise in natural language processing and machine learning. Relevant experience includes (but is not limited to) toxic content detection, debiasing methods for large language
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Under the supervision of a manager or supervisor the intern learns the basic operational skills and professional development required to work in healthcare management. The intern will shadow
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the organizational mission statement; seeks opportunities to teach and learn in accordance with department / organizational standards, policies and protocols. Readily accepts ownership of clinical area; demonstrates