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truth" data for satellite remote sensing (Sentinel) and biogeochemical predictive models (e.g., RothC, Agricolus DSS). Living Lab Management & Co-creation: Act as the primary local contact for farmers
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management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive decline; Natural Language Processing (NLP) for remote cognitive assessment; image
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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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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
approaches will be investigated to optimize control strategies, predictive maintenance, and efficient resource management in dynamic environments. The activity may include experimentation on real or simulated
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expand and improve an existing modelling framework to predict direct and indirect nitrous oxide and methane emissions from agriculture. You contribute to the following activities: Performing a SWOT
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 14 days ago
, CNRS, INRAE, INSERM …), but also with the regional economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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predictive biological insights, refining iterative protein design architectures. 4. Data Science & Systems Biology Modeling (10%) Deconstruct complex experimental and sequencing datasets using advanced
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, and Posit Connect for deploying dashboards and predictive models that support the University's fundraising campaigns. This position reports directly to the Senior Director of Advancement Analytics in