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. The project will investigate how advanced and modern cryptographic protocols, such as zero-knowledge proofs, secure multiparty computation, homomorphic encryption, exotic signatures, and their post-quantum
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to users from science and industry. Your qualifications: - Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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participate in public dissemination of project findings in the media, at stakeholder meetings etc. An interest in teaching, for example as part of the department’s bachelor program in criminology or it’s master
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The Informatics Institute at the University of Amsterdam is looking for a highly motivated PhD candidate as part of the NWO-funded research project TACIT (Inclusive Technologies for Access and
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in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a
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personal career in applied research and start a career as a postdoc at our institute. Additionally, we offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career
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neighboring Finsen Laboratory. We have weekly journal clubs, data clubs, seminars with invited international speakers. A young researchers club (ASAP), our own PhD programme (MoMeD) and our own Postdoc Career
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Would you like to perform cutting-edge neuroimaging research to improve rehabilitation and quality of life for people with visual impairment? We seek a talented PhD student to develop and validate fMRI-based biomarkers for personalized vision training protocols for hemianopia...
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years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Ecology within three months of accession in
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Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers to...