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multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
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effectiveness depending on image depth, and availability of multi-sectral information will be analysed. Related mathematical skills Basic knowledge of AI / deep learning methods is needed. Having some interest in
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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testing (NDT), and the mechanics of advanced materials, particularly composites and fatigue-critical structures. A key research direction involves the integration of machine learning and deep learning
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are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue
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and geometric deep learning, or simulation-based inference. We welcome your unique perspective and are eager to learn how your track record, educational vision, and future research goals align with
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atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
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course development at first and second-cycle levels related to AI (with and without ties to cybersecurity), particularly deep learning, generative AI, large multimodal models, diffusion models and deep
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analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover letter with your application. Describe a deep learning project you have
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for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial