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science » Programming Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Mathematics » Statistics
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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your application … Where to apply Website https://www.academictransfer.com/en/jobs/359397/phd-position-advanced-predictiv… Requirements Additional Information Website for additional job details https
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. . RECIPIENTS: Holders of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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development of specialised APIs and lifecycle management of the machine learning model. This role will require a strong understanding of electrical engineering and power systems principles in order to encourage
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with
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teaching at the secondary or postsecondary level or in industrial training programs. Desirable Education and/or Experience • PhD in electrical or computer engineering or a closely related field, from
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also