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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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. Reporting to Professor Thomas Nichols, in collaboration with Professor Naomi Wray and Wesley Thompson, you will join an interdisciplinary team spanning statistics, machine learning, genetics, and population
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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
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We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025 BRIDGES project GenePPS, which investigates how machine learning can enable prediction of gene perturbation
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Frontiers of the Future grant. CARINA stands for Combining Machine Learning with Forefront Astronomical Instrumentation to Probe Intermediate Mass Star Formation. CARINA is focussed on developing case
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Research Associate to join the AI-Design Lab (AiDLab) — a pioneering collaboration between the RCA and the Hong Kong Polytechnic University (HKPU), funded by the InnoHK programme. AiDLab brings together
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collaborator visits. There are no teaching obligations, though teaching opportunities can be arranged if desired. The ideal candidate should have experience with machine learning, particularly in deep learning
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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interface of machine learning, genomics, and scientific computing, contributing both methodological innovation and translational impact. Close collaboration with Helical-AI will ensure that developed models