πŸŽ“ Discover PhD and Master's programmes at leading universities worldwide β€” Sign up free to save searches and get email alerts

Results for "computer science"

8 opportunities found

Computational Methods and AI Models for Medical Image Analysis Using Generative and Foundation Models
University of Birmingham Dr Le Zhang πŸŽ“ Artificial Intelligence πŸŽ“ Biomedical Engineering

Explore cutting-edge AI techniques like generative and foundation models to advance medical image analysis. Investigate multimodal and vision-language models to develop robust, explainable algorithms that improve clinic…

This research enhances healthcare by developing AI models that improve diagnostic accuracy and clinical workflows, leading to better patien…

Medical Image Computing Generative AI Medical LLMs Digital Healthcare
Chemical and Electrochemical Deposition of 2D Boron Nitride Nanomaterial Films
University of Southampton Professor Andrew Hector πŸŽ“ Applied Chemistry πŸŽ“ Electronic Engineering

Explore chemical and electrochemical techniques to grow 2D boron nitride insulating films for advanced semiconductor devices. Investigate their integration with 2D semiconductors and applications in neuromorphic computi…

Developing reliable methods to grow insulating 2D boron nitride films is vital for fabricating next-generation semiconductor devices with i…

6770+ citations Β· h47
Chemistry
Chemical and Electrochemical Deposition of 2D Boron Nitride Nanomaterial Films
University of Southampton Prof Andrew Hector πŸŽ“ Applied Chemistry πŸŽ“ Electronic Engineering

Explore the electrochemical and chemical deposition of 2D boron nitride films and their use as insulating substrates for semiconductor devices. Investigate novel growth techniques and their impact on material properties…

This research advances scalable methods to produce high-quality 2D insulating films crucial for next-generation semiconductor devices. By e…

4901+ citations Β· h35
Nuclear Physics Many-body Physics Nuclear Theory Quantum Computing
Human-in-the-Loop AI for Equitable and Climate-Resilient Sewer Systems
AGH University of Science and Technology Dr Jawad Fayaz Deadline: 24 Apr 2026

Develop AI-powered, human-in-the-loop decision frameworks to enhance climate resilience and equity in urban sewer systems under uncertainty. Integrate physics-informed models with preference-based reinforcement learning…

This research addresses critical gaps in managing urban sewer infrastructure under climate uncertainty, explicitly incorporating social equ…

Physics-Informed Machine Learning Reinforcement Learning Climate Resilience Urban Sewer Systems
PhD Programmes at the Free University of Bozen-Bolzano
Free University of Bozen-Bolzano πŸŽ“ Agriculture πŸŽ“ Biotechnology

The Free University of Bozen-Bolzano offers seven structured PhD programmes across multiple disciplines, supporting early-career researchers with funded opportunities and international research training.

Channel-Aware Over-the-Air Post-Quantum Cryptography for 6G Wireless Networks
University of Surrey Mahtab Mirmohseni, Liqun Chen πŸŽ“ Communications Engineering πŸŽ“ Computer Science Deadline: 20 Apr 2026

This PhD explores efficient deployment of post-quantum cryptography in 6G wireless systems by integrating cryptographic processes with wireless channel properties to improve security, scalability, and energy efficiency.

Redefining in-network computing for compute-native 6G networks
University of Southampton Dr Aristide Akem, Prof. Steve Gunn πŸŽ“ Artificial Intelligence πŸŽ“ Machine Learning Deadline: 01 Jul 2026

Fully funded PhD at University of Southampton developing next-generation in-network computing for 6G networks. Focuses on programmable networking, distributed computing, and scalable low-latency architectures for edge-c…

Advancing Fusion Energy with AI- Developing Novel Compressed Representations for High-Dimensional Physics Data
The University of Manchester Dr Julia Handl, Prof J Robson πŸŽ“ Applied Statistics πŸŽ“ Artificial Intelligence Deadline: 10 Apr 2026

Fusion Energy, Tokamak, Machine Learning, Graph Neural Networks, High-Dimensional Data, Surrogate Modelling, Materials Science, Predictive Modelling, Dimensionality Reduction, Time-Series Analysis