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model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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€ 2,770 (salary scale PhD candidates) gross per month in the first year, up to a maximum of € 3,539 gross per month in the fourth and final year, based on a full-time position. A holiday allowance of 8
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scale PhD candidates) gross per month in the first year, up to a maximum of € 3,539 gross per month in the fourth and final year, based on a full-time position. A holiday allowance of 8% gross annual
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€ 2,770 (salary scale PhD candidates) gross per month in the first year, up to a maximum of € 3,539 gross per month in the fourth and final year, based on a full-time position. A holiday allowance of 8
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
, you will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we
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Among the most challenging to develop catalytic reactions are stereoselective processes. Typically, a family of catalysts is explored based on a preliminary hypothesis. After initial experimental
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies