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models and diffusion-based policies for navigation planning, trajectory generation and action prediction. Apply reinforcement learning and/or imitation learning methods to improve navigation performance
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rate and will receive partial reimbursement for public transportation fares if necessary. Despite the spectacular success of AI-based approaches for protein structure prediction, reliable 3D modeling
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
datasets, the development of machine learning models, and performance evaluation in industrial application scenarios. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
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the following work packages: WP2: Urban Digital Twin, Data Services and Security and, more specifically, in the following task: Task 2.1: Common Information Models and Urban Data Spaces The task focuses
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
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tomography, high-pressure reactor) with numerical modelling (COMSOL) to quantify and predict dissolution. • Select and characterise biogenic shells (foraminifera, pteropods) from oceanographic cruises
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analysis and exploratory data analysis. Experience applying machine learning methods, including both supervised and unsupervised approaches. Experience evaluating predictive models using appropriate
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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes
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natural language processing with causal estimation. Recent directions in the project include using large language models to remove treatment-predictive information from text, benchmarking debiasing