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and AI, including experience in machine learning software development. E3. Experience in training deep learning models relevant in research projects. E4. Experience of applying good software engineering
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
representations (IR) to bridge deep learning frameworks with low-level hardware, ensuring the seamless evolution of existing software infrastructures. Additionally, he will act as a high-level technical expert
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. Demonstrated success in developing innovative programs, strengthening teaching and learning outcomes, and expanding industry partnerships. Deep knowledge of at least one of the School's disciplines, with strong
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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or triggers for the ATLAS experiment would be highly desirable, as would experience with deep learning and concurrent programming The post will work in the first instance the High Energy Physics Group
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record analysis, Spatial ‘omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI. Skills Communication skills Required Documents Resume
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and dedicated PhD-student funding. Subject Polymer Technology with a focus on Polymer Chemistry. Subject description Deep knowledge in polymer technology and polymer chemistry is crucial
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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at: http://dimadamen.github.io/ Prior expertise in audio-visual perception and deep learning methods with a strong publication track record is expected, including first-author publications in CVPR/ICCV/ECCV