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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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collaboration with Innospec, aims to investigate how different catalysts influence CNT growth, structure, and performance. Specifically, the study will compare different CNT catalysts, evaluating their impact on
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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
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participation in seven network-wide events as well as secondments and collaborations, which entail travel to several different EU countries. YOUR MAIN RESPONSIBILITIES In the framework of the FADOS project, we
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
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-oriented approach. In the SlimmeBurger project, the prospective PhD student will be testing smart measurement methods for water quality (using scalable toolkits like the GUPPY from partner WaterInsight
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innovative research deployment. MATCH comprises some of the most renowned European universities, spanning across 6 different European countries. All these universities have high educational and research
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collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time spent abroad should therefore be expected during data collection periods. The project offers rich