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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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developing indices, summary characteristics, and models for marked point patterns (of trees), as well as (goodness of fit) testing using Monte Carlo and permutation methods. Challenges come, e.g., from
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. These triggers can be injected into the training dataset or directly into the model weights. These are then called poisoned. Due to parameter-efficient fine-tuning methods, backdoor attacks on large language
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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? Do you have a background in in vivo rodent models and laboratory techniques? Do you want to expand your knowledge and further your career in one of the UK’s leading research intensive Universities? We
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system models. In technologically detailed energy system models, these requirements are increasingly leading to challenges due to the rapid techno-economic development of the modeled technologies
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http://www.uniba.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy OTHER Eligibility of fellows: country/ies of residence: EUROPE OTHER
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environment, responding to student needs, managing effective instructional activities, modeling employability skills, demonstrating professionalism, developing cooperative work relationships with other faculty