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Other (electronic and electrical engineering) PhD Projects, Programmes & Scholarships

We have 14 Other (electronic and electrical engineering) PhD Projects, Programmes & Scholarships

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Computer Science

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I am a non-European student


We have 14 Other (electronic and electrical engineering) PhD Projects, Programmes & Scholarships

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UCL EPSRC Interdisciplinary DTP Studentships

The UCL EPSRC DTP (Doctoral Training Partnership) invites applications for three funded PhD studentships for interdisciplinary research via an open competition. Read more
Last chance to apply

Artificial Intelligence-based Household Food Waste Reduction”

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Last chance to apply

Deep learning-based autonomous diagnosis of GI (Gastrointestinal) tract cancers

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Last chance to apply

MEMS Based Antennas for 5G and 6G Communications

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more

Poznan University of Technology (PUT) Doctoral School

Poznan University of Technology (PUT) is one of the leading technical universities in Poland. PUT employs over 2,200 staff and educates nearly 16,500 students including 400 PhD students across 9 faculties ranging from IT to Architecture. Read more

PhD Studentship in Distributed Quantum Computing

Position Summary Applications are invited for one fully funded PhD student position in the Department of Electrical and Electronic Engineering (EEE) at Imperial College in London. Read more

Probabilistic programming for discovery of sustainable materials

This position will remain open until a suitable candidate has been found so early applications are recommended. In this project, we aim to develop probabilistic machine learning models such as belief networks and variational autoencoders to revolutionize materials discovery. Read more
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