56 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions at Delft University of Technology (TU Delft)
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about everyone’s research project and try to help and learn from each other’s problems to boost our scientific and personal growth. We also enjoy many team-building activities and events where you will
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courses, and write scientific articles and a final thesis. … Where to apply Website https://www.academictransfer.com/en/jobs/357997/phd-position-on-multi-carrier-e… Requirements Additional Information
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the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab
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the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click Where to apply Website https
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description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to
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an implementable structural glass window solution, conducting small experiments to determine glass-building properties and/or helping to acquire funding for larger experiments. You will work closely with colleagues
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your application … Where to apply Website https://www.academictransfer.com/en/jobs/357844/phd-position-on-the-delft-lamin… Requirements Additional Information Website for additional job details https
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/357781/phd-position-optical-coherence-… Requirements
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engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 4 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not
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the world. Engineering Productivity Metrics This track will investigate how we can customize typical software engineering metrics to usefully reflect progress for machine learning engineers. Not all