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Field
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems or to combine multiple smaller-scale
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factors and barriers for regenerative farming business models; designing transition pathways that match diverse farm types; and a transition plan to redesign the Dutch agricultural system towards
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling, data analysis, and hydrogeology? Are you passionate about hydrogeological system
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
this thesis, we will focus on the models expressed by logics and data. These models are used in order to check different properties about these models in order to check that the models are correct and coherent
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one