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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while...
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/sigcom In addition, SIGCOM hosts the following experimental facilities: 6GSpaceLab: Real-world validation of advanced communication algorithms CommLab: Real-time wireless testbeds for DSP in satellite and
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genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close
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validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations uncooperative spacecraft . Develop novel methods
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immune cells, and to comprehensively profile their phenotypic and functional heterogeneity, lineage plasticity, and evolutionary dynamics. For all in vitro and in vivo experiments, the Postdoctoral Fellow
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/sigcom . In addition, SIGCOM hosts the following experimental facilities: 6GSpaceLab: Real-world testing and validation of advanced communication algorithms CommLab: Real-time wireless testbeds for DSP in
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vulnerability assessment for satellite communications links Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and spoofing signals using
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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datasets (e.g., RNA-Seq, epigenetics, cancer genomics, or metabolomics). Statistical Knowledge: Strong understanding of algorithmic, statistical, and ontological concepts in biology. Communication: Excellent