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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ). Contact: Jung, Andreas (anjung@purdue.edu ) Letters of Reference should be sent to: anjung@purdue.edu Apply now Posting
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immediately. For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ). Purdue University is an Equal Opportunity Affirmative Action Employer. Applications from minority and
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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photonics, nonlinear and quantum optics, guidance systems, artificial intelligence, sensor technologies, imaging, sensing and display – to name a few. TISTEF collaborates with many national and international
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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of marine resources, including marine bioenergy; environmental sensor development; environmental remediation; developmental biology; marine biomedicine; molecular and cellular systems and sustainable urban