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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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histology of Multiple Sclerosis PhD candidates: contribute to the design and execution of their research work with relevant methods and technologies in their field interpret and discuss results within
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Pirashvili (mariam.pirashvili@plymouth.ac.uk) 3rd Supervisor Dr Sean James Fallon (sean.fallon@plymouth.ac.uk, tel.: +441752584836) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship
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system will enable single-shot, real-time 4D Imaging, going beyond the current state of the art. This project will focus on two main steps: 1. Developing real-time tomographic 4D imaging using multiple
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 16 days ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 21 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer
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will explore public, stakeholder, and decision-maker perspectives on lockdown strategies, exit processes, and communications. Using co-design workshop methods, the student will develop a prototype
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-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative pangenomics of polyploids Project description This PhD project
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pangenomics of polyploids Project description This PhD project investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species