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quantum safe cryptography, as well as novel symmetric encryption algorithms designed for use with advanced protocols, such as fully homomorphic encryption, multi-party computation or zero-knowledge
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
Stig Brøndbo 26th April 2026 Languages English Norsk Bokmål English English Faculty of Humanities, Social Sciences and Education Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and
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), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE project involves Simula Research Laboratory and University of Texas at Austin, USA, as partners. In
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biological specimens, including: • Engineered Heart Tissues (EHTs) • Brain organoids • Live biological cell cultures • Fish and aquatic biological samples Multiple scattering severely limits image contrast and
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UiO/Anders Lien 1st March 2026 Languages English English English Join the innovative MishMash Centre at the University of Oslo as a Postdoctoral Research Fellow in AI and creativity! Postdoctoral
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the challenges of multiple scattering in thick biological specimens, including: • Engineered Heart Tissues (EHTs) • Brain organoids • Live biological cell cultures • Fish and aquatic biological samples Multiple
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has extensive national and international research collaboration including regional institutions like the Fram Center, Institute of Marine Research, The Norwegian Polar Institute, and other Universities
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in stellar astrophysics Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at the Centre for Planetary Habitability (PHAB), Department
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: Experience in analysing and working with CESM/NorESM and with paleo proxies (i.e., ice cores, tree rings) will be advantageous. The PhD candidate should be interested to work in a multi-disciplinary research
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neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within