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physical models. As the PhD researcher on this project, you will work at the intersection of machine learning, geometry processing and industrial simulation. You will have the opportunity to explore
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Intelligent active gate driver for net zero energy systems (S3.5-ELE-Foster) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Prof Martin
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches
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(see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after
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to the student and administrative/faculty members as appropriate. Other duties as assigned by the program administrator. Basic knowledge of technology-mediated platforms for blended learning and computer software
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representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline for submitting applications: 20 February 2026 Required
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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About this opportunity: We invite applications for an industrial PhD (iPhD) position at Ericsson Research in Gothenburg, Sweden, performed in collaboration with Chalmers University of Technology
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess