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[map ] Subject Areas: Mathematics, AI-based drug design and discovery, Bioinformatics/Protein Engineering/Single-cell Omics Data, Mathematical AI/Machine Learning/Deep Learning, and Computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
AI/ML methodologies , advanced analytics , and data-driven decision making to solve contemporary business challenges. Research methods of particular interest include machine learning , deep learning
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) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed of new literature related
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specifically detailing your interest in glioblastoma and deep learning Two reference letters For more information:stein.aerts@kuleuven.be Where to apply Website https://jobs.vib.be/j/130090/postdoc-position-deep
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range: The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
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(optimal) solutions—with subsymbolic approaches such as deep learning and reinforcement learning to reduce the complexity of knowledge acquisition and search for solutions. Therefore, this project is closely
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and affirmative action employer, and we seek applicants with deep connections to the cultural communities to which our students belong. As an affirmative action employer, we actively seek and encourage
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will collaborate in R&D tasks in Natural Language Processing (NLP) based on the application of Machine Learning (ML) and Deep Learning (DL) techniques developed in this project, including the generation