PhD studentship (3.5 years fully funded): Deep learning for large-scale analysis of brightfield and multiplexed whole slide images.
We are seeking a PhD student in deep learning (DL) and artificial intelligence (AI) to research and develop tools and methods for the large-scale analysis of multiplexed digital multi-gigapixel whole-slide images of cancerous tissue sections. The project aims to develop tissue/organ-agnostic DL models for registration, detection, segmentation and classification of a broad range of tissues using brightfield and multiplexed imaging. You will develop explainable AI methods for correlating the histological signatures with genomic alterations, treatment response and clinical outcome.
PhD Studentship in the topic of Multiagent Systems and related areas
We are seeking PhD candidates in the topic of Multiagent Systems and related areas, with particular emphasis on one or more of: computational social choice, algorithmic game theory, multiagent learning, and social and economic networks. The multiagent systems researchers at University of Warwick include Markus BrillLink opens in a new window, Ramanujan SridharanLink opens in a new window, Long Tran-ThanhLink opens in a new window, and Paolo TurriniLink opens in a new window.
PhD studentship in Computational Neuroscience in Computer Science Centre for Doctoral Training, Department of Computer Science, University of Warwick.
We are seeking a PhD candidate to join a research programme, led by Prof Yulia Timofeeva in collaboration with Prof Kirill Volynski (UCL Queen Square Institute of Neurology, London), that aims to develop and implement a computational modelling framework for studying regulation of synaptic transmitter release in health and disease. The programme runs in collaboration with a number of world-leading experimental laboratories working in the field of synaptic transmission and information processing in the brain.
The successful candidate should have background in applied mathematics/theoretical physics/computer science or related discipline and should have solid computational skills.
For further details please contact Prof Yulia Timofeeva (firstname.lastname@example.org)
Scholarship eligibility: Home/EU - Deadline: 31 January 2023