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researcher excited about working on the cutting edge of AI/Neuromorphic and user interface design? We'd love to hear from you! Research area and project description A Brain-Computer Interface (BCI) decodes
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pressure, low temperature, and high salinity, marine microbes efficiently utilize lignin-derived molecules as source of energy, nutrients, and carbon. Aromatic carbon, such as lignin-derived organic matter
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transport studies (proof-of-concept): You will conduct low-temperature electronic transport measurements to confirm and characterize fundamental quantum behaviors induced by these nanoscale superlattices
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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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Job Description If you are driven by big questions about species extinction and want to build tools that make genomics more accurate and accessible, this PhD offers a unique opportunity. You will
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interventions to support compromised neonates, resulting from e.g. prematurity, low birth weight or birth asphyxia. Project description This PhD position will be a part of a project funded by Grøn Udviklings- og
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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PPC at high load where knock will severely limit SI operation. However, at low load CI combustion cannot be used but SI works well. By combining SI and CI, as well as the more advanced concepts of HCCI
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation