New calls with deadlines end June-early July
Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
Computational Science Lab, Informatics Institute - University of Amsterdam
Are you driven by a desire to delve into the convergence of computational modelling, omics research, and exogenous factors as they relate to human health? Specifically, are you excited about utilizing computational science methods to investigate the impact of the human microbiome on health and disease?
We are seeking a motivated PhD candidate to join our team focused on multiscale spatiotemporal modelling of the human microbiome. The successful candidate will be responsible for constructing, simulating, and validating computational models of the microbiome in oral and gut regions, as part of the MetaHealth consortium project.
Deadline: 3 July 2024
More info and application HERE
_________________________________________A biochemo-mechano multi-scale computational model to predict bone adaptation over space and time
University of Sheffield - School of Medicine and Population Health
Musculoskeletal diseases as osteoporosis have huge impact on the mortality and morbidity of our ageing society. At the moment there are some pharmacological interventions for treating osteoporosis but they are not effective in all patients and their cost is very high. New interventions have to be tested in animal models before clinical studies, the mouse being one of the most used models.
The project aims at developing the first multi-scale biomechanical model for the prediction of bone changes over time in the mouse tibia due to external biomechanical and biochemical stimuli, and at validating its outcomes versus state-of-the-art longitudinal micro-computed tomography (microCT) measurements of bone adaptation.
Deadline: 10 July 2024
More info and application HERE
_________________________________________PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins
TU Delft - Faculty Mechanical Engineering
A cardiovascular digital twin is a physics-based computer simulation that models an individualā€™s health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient data-driven surrogate models for parametrized partial differential equations, with application to computational cardiology.
The research will be conducted in the Department of BioMechanical Engineering at Delft University of Technology (TU Delft) under the supervision of dr. ir. Mathias Peirlinck. The Peirlinck Lab integrates multimodal experimental data, physics-based modeling, and machine learning techniques to understand, explore, and predict the multiscale behavior of the human heart and cardiovascular system. More information on the research and team can be found on https://peirlincklab.com
Deadline: 15 July 2024
More info and application HERE
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PhD position - Investigating the contribution of meniscal roots to human knee joint contact mechanics: Applying machine learning, experimental and modelling approaches
University of Liverpool - School of Engineering
This project aims to develop computational and experimental methods to better understand the consequences of meniscal root injuries. The objectives include, applying machine learning to develop a constitutive material model and developing a computational modelling framework combined with the determined material models. The student will be delivering the aim of the research project under the supervision of two supervisors, an expert in tissue mechanics (Dr Readioff from UoL) and machine learning expert (Dr Huang from NTHU).
This project will require the student to spend 2 years at NTHU followed by 2 years at UoL.
Deadline: 31 July 2024
More info and application HERE
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Postdoctoral Fellow: AI-based integrative modeling of macromolecular complexes
EMBL - Hamburg, Germany
The Jan Kosinski group at EMBL Hamburg and the Fabian Theis group at Helmholtz MĆ¼nich seek a Postdoctoral Fellow to employ AI methods for the integrative structural modeling of macromolecular complexes. This position is part of the TransFORM consortium, funded by the prestigious ERC Synergy Grant, which aims to map the intricate workings of protein translation machinery in human cells using cutting-edge cryo-electron tomography, mass spectrometry, and computational modeling of atomic structures.
Closing date: 19 August 2024
More info and application HERE
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Postdoctoral Fellow: Integrative cryo-electron tomography data mining
EMBL - Hamburg, Germany
The Jan Kosinski group at EMBL Hamburg, in collaboration with the Julia Mahamid group at EMBL Heidelberg, seeks a Postdoctoral Fellow to work on computational analysis of biological cryo-electron tomography (cryo-ET) data. This position is part of the TransFORM consortium, funded by the prestigious ERC Synergy Grant, which aims to map the intricate workings of protein translation machinery in human cells using cutting-edge cryo-ET, mass spectrometry, and computational modeling of atomic structures.
Closing date: 19 August 2024
More info and application HERE
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Postdoctoral Researcher ā€“ Artificial Intelligence for Synthetic Data Generation in Biomedicine
Barcelona Supercomputing Center
The Machine Learning for Biomedical Research unit at the BSC, led by Dr. Davide Cirillo, is currently offering a postdoctoral researcher position. This role focuses on employing Artificial Intelligence (AI) techniques to synthesize various types of biomedical data, including images, genomic sequences, time series, and texts. Synthetic data generation in biomedicine involves creating artificial datasets that mimic real biological data, which is crucial for enhancing privacy protection, increasing data availability, reducing biases, ensuring regulatory compliance, and facilitating more robust and cost-efficient research and development. This initiative is part of a collaborative project supported by an EU public-private partnership, aimed at advancing the frontiers of synthetic data generation in biomedical research.
Closing date: 15 September, 2024
More info and application HERE
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Software engineering / Modular code for surgical planning
Centre Inria de Saclay
In the Simbiotx team, we build virtual human twins for advancing disease understanding and treatment planning. Our software can simulate the entire blood circulation. Our next step is to build it into a package that is usable for many user types, fast to personalize it for each patient, and flexible to support more use cases.
We are seeking a talented software engineer to develop the new generation of our cardiovascular modeling software. Your mission will involve laying out the foundational elements and collaboratively develop a new version of this software.
Closing date: 30 September, 2024
More info and application HERE
