New calls with deadlines in April-May
Fully Funded Doctoral Studentship in Computational Cardiology
Department of Computer Science, University of Oxford
The Department of Computer Science at the University of Oxford is offering one fully funded DPhil studentship for home students in the Computational Biology and Health Informatics theme under the supervision of Professor Blanca Rodriguez, to commence next academic year (October 2025)
UK students only
Supervised by Prof Blanca Rodriguez, within the Computational Cardiovascular Science Team
Applications deadline: 30 April 2025
More info HERE and application HERE
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PhD position Framework for automated ODE model construction
Maastricht University
This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large biological networks.
In silico models aim to capture and elucidate the complex and emergent interactions of biological systems, with the goal of expediting research and potential clinical translation. For example, ordinary differential equation (ODE) models of toxin and drug transport are being developed to bring safer therapies to chronic kidney disease patients. Despite recent progress, these cutting-edge ODEs only model transport in steady state and remain limited regarding the amount and complexity of dynamic transport mechanisms as it is often not clear which kinetic relation is most suitable. This limitation is due to the manual and labor-intensive approaches to construct the ODEs, which critically hinder their application in quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and model evaluation and explore the capabilities of the developed framework for toxin and drug transport in the kidney.
More info and application HERE
Deadline: 4 May 2025
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Multiple PhD positions in Modelling and simulation for better stroke treatments
Centre for Computational Engineering Sciences, Cranfield University
The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a unique opportunity to collaborate with leading academic, industrial, and clinical experts through GEMINI, an EU flagship project utilising M&S to advance stroke treatments.
Application deadline: 4 Jun 2025
More info and application HERE
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Postdoctoral position in Implementation Science 80 %
University of Zurich
The Institute for Implementation Science in Health Care IfIS is based at the Medical Faculty. Implementation Science is an applied research field dedicated to optimizing the integration of evidence-based practices and research findings into routine practice to improve the quality and effectiveness of health care.
The research group of Prof. Lauren Clack Implementation Science in Health Care offers a Postdoctoral position in Implementation Science with involvement primarily in the following two research projects:
1) The Implementation Science work package of the EU Horizon 2020 Framework project NeoIPC. The objective of the project is to establish innovative approaches for optimal infection prevention of resistant bacteria in Neonatal Intensive Care Units by integrating clinical research, implementation science and surveillance.
2) The Citizen Science and Patient and Public Involvement and Engagement (PPIE) work package of the ITINERARE project, a University Research Priority Program (URPP) focused on translational research for rare diseases.
More info and application HERE
