PhD and postdoc opportunities - December 2024

New calls with deadlines end December - early January

Post-Doctoral Researcher – In-Vitro & In-Silico Validation of Biomechanical Spine Models
MDsim S.A. - Luxembourg

Your mission is to join the team of PhDs, Engineers, and Software Developers dedicated to the development of a Software as a Medical Device (SaMD) platform that aims at helping practitioners and Medical Devices Designers to design, certify, and use innovative devices in spine treatment that are optimally planned and executed.

Your Responsibilities:

  • In-Vitro Validation: Conduct in-vitro biomechanical experiments using cadaveric or synthetic spine models to validate the accuracy of the computational model. This includes experimental design, data collection, and analysis.
  • In-Silico Validation: Develop and run simulations using the existing biomechanical model of the spine. Validate the model against experimental data and refine it as necessary to improve accuracy and reliability.
  • Model Development: Contribute to the development and refinement of the biomechanical model by integrating experimental data, improving modeling elements, and enhancing computational efficiency.
  • Collaboration: Work closely with a multidisciplinary team of engineers and clinicians. Participate in project meetings, providing regular updates and contributing to decisions about the biomechanical model.
  • Publication & Dissemination: Prepare and publish high-quality research articles in peer-reviewed journals.

Deadline for application: 1 Feb 2025 - 09:00 (Europe/Brussels)

More info HERE

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Research Associate
School of Computing, Engineering & Digital Technologies - Tesside University

The Research Associate will work closely with the PI of both projects, Dr Annalisa Occhipinti (a.occhipinti@tees.ac.uk) and they will join the “Interpretable and Beneficial AI” research group at Teesside University.

1) EPSRC – CLIRPath-AI: Integrating infrared spectroscopy and digital pathology: an explainable AI multi-modal framework for breast cancer diagnosis

The RA will support the PI and co-Is in developing the deep learning model to integrate digital pathology images with spectroscopy data. Please refer to the Person Specification and Job Descriptions for more details on the skills required for this project.

2) EPSRC – ECR International Collaboration Grants: From single-cell transcriptomic to single- cell fluxomic: characterising metabolic dysregulations for breast cancer subtype classification

The RA will support the PI and co-Is in the statistical analysis of the metabolic models of the 32 breast cancer cell lines and develop the machine learning pipeline to identify key metabolic changes across breast cancer subtypes. Please refer to the Person Specification and Job Descriptions for more details on the skills required for this project.

Deadline for application: 7 Jan 2025

More info HERE



Date: 11/12/2024 | Tag: | News: 1634 of 1642
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