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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a highly motivated postdoctoral researcher to join our team at Nanyang Technological University as a Research Fellow. Key Responsibilities: Engaging in cutting-edge research in intelligent perception, and human-robot...
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to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from
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We welcome applications for a Research Fellow position in AI/Machine Learning at the School of Mechanical and Aerospace Engineering (MAE), NTU, Singapore. The appointment is full-time and is funded
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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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projects in quantum machine learning, focusing on the study of non-Markovian processes to enhance the processing of classical and quantum data. Responsibilities include developing new algorithms, conducting
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1st August 2024 Languages English English English PhD Research Fellows in ICT - Machine Learning and Security Apply for this job See advertisement About the position Three 100% positions
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
processes by leveraging control theory, data analytics, machine learning, optimization, graph theory, information theory, etc. There will be extensive opportunities for successful candidates collaborate with
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: School of Computing & Information Systems Salary: Level A: $83,468 - $113,262 p.a. plus 17% super Conduct advanced research at the intersection of machine/deep learning, communication networks, and game
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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics at University of Nottingham. The role will include data analysis via machine