525 high-performance-quantum-computing-"https:"-"https:"-"https:" positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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implementation topology and its power, performance and area. Collaborate with team members in NanoComputing Research Lab. Communicate clearly, both written and verbal. Publish research findings in high-impact
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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Location ESTEC, Noordwijk, Netherlands Description The ESA Programme Related to EU Secure Connectivity, hereinafter referred to as Secure Connectivity, is intended to support the effective
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understanding of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters
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In this position you will perform unique experiments at incredibly small scales, both in space (single atoms) and time (nanosecond quantum oscillations). Job description You will work on a dedicated
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interviews in February and reach a decision in March. The earliest possible starting date is June 1, 2026. Where to apply Website https://www.academictransfer.com/en/jobs/357503/2-lecturer-positions-in-compute
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researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to bone regeneration. PhD in Computational Modelling of Bone Regeneration
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), this postdoctoral project will focus more explicitly on socio-emotional processes in team learning, investigating how emotions, motivation, group climate, and interpersonal regulation shape learning and performance