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communication theory, machine learning, complex networks, and optimization. The employment This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three
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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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and plant biology, engaging in interdisciplinary research. Network at international conferences and meetings and with an extended network of collaborators. Why Join Us? Impactful research: Contribute
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and their sustainability aspects. Collaborate closely with other members of the group and experts in organic chemistry and plant biology, engaging in interdisciplinary research. Network at international
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well as present results to stakeholders across multidisciplinary teams. You will participate in Clinical Genomics meetings and activities and help disseminate best practice through the network. You will also be
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skills, including communication to various audiences, career development, intellectual property and startup-funding. The doctoral candidates will form a strong cohort through participation in seven network
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, where models learn to restore images using only the noisy data itself — without requiring clean references. Existing approaches often rely on convolutional neural networks (CNNs), which identify local
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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and positive societal impact. In safety-critical domains such as healthcare or autonomous driving, as well as in security-critical systems including AI-native networks or financial services, AI/ML
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with