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methods (e.g., CNNs, LSTMs, transformer architectures) applied to biological data. ● A track record of independent or co-led research projects and first-author publications. Brief Description
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engineering, precursor chemistry, energetic band alignment, low-trap-density CQD solids, and novel infrared photodetector architectures. The first position focuses on CQD synthesis and surface chemistry
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-reviewed journals; Support in funding acquisition; Contribute to laboratory activities, including PhD and Master student supervision and teaching assistance. Profile PhD in architecture, civil engineering
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explore circuit architectures such as local digitisation, event-driven or asynchronous readout, and noise-immune topologies to achieve robust, ultra-low-latency tactile sensing with a high dynamic range
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quantum computing architectures. In addition to leading and contributing to research projects, the successful candidate will assist in developing competitive grant proposals, preparing technical reports and
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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chromatin architecture and transcriptional regulation Studying cohesin dynamics and interactions with adipogenic transcription factors Generating and analyzing genome-wide and imaging-based datasets
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures