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: Essential criteria PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion* Experience in language computer programming (Python) General experience in machine learning/deep
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State University of New York University at Albany | Albany, New York | United States | about 24 hours ago
fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning
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partners, one of them Infineon. The PhD candidate will be working on computer vision algorithms for head pose tracking. The tasks will be: Independent research on topics in 3D computer vision and machine
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candidate will utilise multiscale modelling, mathematical optimisation, machine learning, and additive manufacturing to create digitally-designed, patient-specific smart implants. To deliver on the project
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medicine. This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several
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, machine learning, or good software engineering practices would be an advantage. The successful candidate will be required to access data held by the UK Health Security Agency in order to undertake this role
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: The School of Computer Science at McGill University (Montreal, Canada) invites applications for tenure-track appointments at the rank of Assistant Professor. We are seeking candidates with a PhD (or close
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at Chalmers University of Technology at the end of the previous period, to complete the PhD studies. About SPACER SPACER aims to develop new architectures for porous electrodes to improve the power density and
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identification, and who have significant experience in applying Machine Learning (ML) and Artificial Intelligence (AI) to these areas. Applicants with theoretical, numerical, experimental, or combined research
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and strategies at an institute of higher learning. Strong working knowledge around pedagogy, data science, software design, machine learning, AI, cybersecurity, data and AI governance framework