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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
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communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter, metamaterials, quantitative image analysis and programming
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. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
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through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software
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mutagenesis, imaging, genomics, and single-cell transcriptomics. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. PhD project 2: The PhD
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Your Job: The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will
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, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not. Our vision is
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. The vision of the MICRO-PATH doctoral training unit (DTU) is therefore to tackle these challenges in a focused way and to lay the foundation for establishing the microbiome as a therapeutic and preventative
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by exploiting
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor