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neutrophils and platelets in the setting of both sterile and pathogen-driven inflammation. State-of-the-art methods include transgenic mouse models with cell-type specific knockout mice, a broad range of
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik | Aachen, Nordrhein Westfalen | Germany | 8 days ago
spectrum of theoretical, practical and organizational work: Research - As part of various national and EU-funded projects, you will be working on the modelling and simulation of steel production in electric
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Postdoc Position Specialized metabolite functions during gut microbial interactions in Fusobacterium nucleatum Applications are invited for Postdoctoral and PhD positions in the laboratories of Professor
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Area of research: Scientific / postdoctoral posts Starting date: 25.11.2025 Job description: The GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt operates one of the leading particle
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29.04.2021, Wissenschaftliches Personal This PhD position is in the field of resource management for wireless network that leverage “digital twins” modeling aspects of the physical (such as user
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ecological modelling, particularly species distribution models (SDMs), are desirable LanguagesENGLISHLevelGood Research FieldEnvironmental science » Ecology Additional Information Work Location(s) Number
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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the project: Development of a regional normative BrainAGE model for morphometric measures. The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes