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hardware realization of neuromorphic systems, bridging neuroscience and electronics. The project combines expertise in circuit design, machine learning, and neurotechnology, and aims to deliver innovative
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interrogation and readout of colour centres, while allowing for integration with biological brain tissue samples. The experiments will be conducted at DTU Physics. Within this project, we collaborate closely with
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extension of one more year. Job description This postdoc position focuses on research in deep learning for remote sensing data analysis within a highly collaborative, interdisciplinary environment. You will
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measurements on the ice sheet. Project management, including coordination of fieldwork in coastal and interior Greenland in collaboration with the project PI and external partners, and liaison with external
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and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained inference
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. Collaboration with clinicians is essential to understand the clinical context, underlying biology, and to validate the developed models. Equally important is collaboration with technical researchers to integrate
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will be part of an exciting academic/industrial collaboration between Professor Uffe Hasbro Mortensen at DTU Bioengineering and the Microbial Expression Engineering Department at Novo Nordisk aiming
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implications for GGR and SRM deployment. (3) Identifying social acceptance and legitimacy, (4) Learning, diffusion and adoption in GGR and SRM technologies, (5) Implications for Sustainable Development Goals
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years and is a collaboration between University of Southern Denmark (SDU), Aarhus University, Aalborg University and Technical University of Denmark (DTU). The main aim of the project is to address
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workflows. Research Environment and Collaborative Structure The position is embedded within the Protein Research Group (PRG) at the University of Southern Denmark – an internationally recognized center