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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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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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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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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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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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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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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
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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Biomedical Science working on molecular modeling of proteins and lipids to investigate biomolecular condensates at cell membranes. Project This PhD project investigates how proteins interact and organize
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general study plan . We are looking for candidates with: a strong interest in interdisciplinary research, excellent coding and modelling skills, good communication skills with sufficient proficiency in oral