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Field
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different tasks and physical platforms, ensuring consistent performance in unseen real-world scenarios. Where to apply Website https://phd.fbk.eu/calls/detail/generalization-in-vision-language-action-models
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used for model validation, including a case study based on a CO₂ injection experiment. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-phd-position-meta-modelling-for-gr… Requirements
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within a Research Infrastructure? No Offer Description Urban Digital Twins (UDTs) are dynamic digital representations of cities, integrating heterogeneous data sources and advanced modelling techniques
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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benchmark cases will be used for model validation, including a case study based on a CO₂ injection experiment. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-phd-position-in-applied
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Additional Information Eligibility criteria Ability to design and implement behavioral protocols Knowledge of statistics Experience in signal analysis Experience in agent-based modeling Proficiency in Python
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 4 days ago
on three main Workpackages (WPs): • WP1: Characterizing the inflammatory response and airway remodeling in a novel 3D model of Apical-Out Airway Organoids (AOAO) derived from pediatric asthmatic patients
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are planned for participation in several international conferences). Expected skills Knowledge and technical skills: • Master's degree (or engineering degree) in Evolutionary Biology, Ecological Modeling
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize