25 postdoctoral-in-optical-communication PhD positions at University of Southern Denmark
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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develop experimental research performing magneto-optical spectroscopy combined with electronic transport to investigate light-matter interactions in 2D materials. Our goal is to access and control new
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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brain activity patterns and transforms them into actionable commands, enabling direct communication between the brain and external devices. BCIs have broad applications, from restoring movement in people
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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in Functional Genomics and Tissue Plasticity (ATLAS) , a key research focus in the group is understanding cellular diversity and communication determining differential interindividual phenotypic
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system provides universal access to services, disparities persist in access to general practitioners, particularly in rural areas, low-income communities, and among marginalized populations. The PhD
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applications Co-integration of SSM-SNN cores with RISC-V processors in CMOS Hybrid analog/digital interfaces for spike generation and propagation Event-based communication protocols for ultra-low-power operation
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complexes. Nat Commun. 9(1):2311. Lab and Research Environment You will be part of the research group led by Assoc. Prof. Rasmus Siersbæk (Siersbaek group ) at the Dept. of Biochemistry and Molecular Biology
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by