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will computationally explore catalyst materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models
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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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transcriptomics (Visium HD, Xenium), single-cell RNA sequencing, and computational modeling, the student will map tumor cell states, lineage hierarchies, and differentiation trajectories. Insights from
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tumour specific antigens (e.g. EPCAM) in magnetic nanoMIP and fluorescent nanoMIP formats. The doctoral candidate shall support MIP design with molecular modelling and undertake nanoMIP synthesis
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utilizing lung epithelial cell and in vivo models. Different airway epithelial cell cultures models will be developed to study ON uptake and effect in (patho)physiological conditions of lung diseases
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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biofilm-related infections in orthopaedic implants: from in vitro to in vivo models Join the prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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and computer science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making