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Field
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, and other stakeholders, as well as the analysis of project and policy data; Developing indicators and methods to systematically measure the societal performance and financial outcomes of cooperative
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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developing and evaluating innovative treatment approaches including those involving parents. The Program’s research relies on multi-informant and multi- method assessments, several of which were developed by
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qualifications obtained abroad must prove the recognition, equivalence, or registration of the doctorate degree, under the applicable legislation. This formality must be fulfilled up to the date of signing the
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Europe project euroFMX, contributing to the scientific foundations of Frame Autonomy for Manufacturing. The research will focus on formal methods for autonomous decision-making, developing novel techniques
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development activities at the intersection of Agentic AI, AI Security, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe
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, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research
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abroad must prove the recognition, equivalence, or registration of the doctorate degree, under the applicable legislation. This formality must be fulfilled up to the date of signing the contract. 2
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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
must have formal training in a quantitative discipline, with either a Bachelor's or Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, Mathematics, Statistics, or a related field