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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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research within Financial Technology, fostering an environment of scholarly excellence. Represent the University at national and international forums and build strategic partnerships with industry, academia
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capacity-building initiatives. You should apply if You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard
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of Economics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent research projects
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The role We are looking for an accomplished Assistant Professor in Data Science / Statistics to join the University of Bristol’s Mumbai Enterprise Campus (MEC) – a flagship transnational education
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, multimodal sensing, 3D packaging) Alternative Computing (neuromorphic, chaos-based approaches) Apply via IISc’s portal: https://www.cense.iisc.ac.in/opportunities/ CeNSE actively encourages applications from
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International Finance Entrepreneurship and New Venture Creation These will map into pertinent interdisciplinary connections within the school including statistics, economics, history, psychology, environmental
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Informatics Lab in Doha, Qatar, led by Prof. Younes Mokrab. The role will help drive translation-oriented research in the lab, with a focus on genome-phenome correlations in Middle Eastern populations, with
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on exosome engineering, a nanotechnology-driven approach that enables the modification of molecules, including DNA, RNA, and proteins, both on the surface of and within exosomes. Leveraging this platform
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, Social Inclusion, Energy Transition, Data & AI, and Environment. The Mumbai Campus will offer programmes in Computing Science, Data Science, Business Management, and Economics. Role Summary The Academic