Linkedin Labtau  

Job offers

Last updated 9 January 2024

Internship
Place: LabTAU - Release date: Tuesday 9 January 2024 - Response deadline: Monday 8 April 2024
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Tuesday 12 December 2023 - Response deadline: Sunday 30 June 2024
The aim of this master’s or engineering degree internship will be to characterize the electromechanical and electroacoustic properties of CMUT HIFU probe prototypes. Additionally, the intern will participate in the design and development of the electronics and mechanical components driving the CMUT HIFU probe. At a later stage, after ex vivo validation on living tissue, the probe will be integrated into a clinical treatment platform for in vivo experimentation on porcine models.
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Tuesday 12 December 2023 - Response deadline: Sunday 30 June 2024
The Master's/Engineering student will be responsible for getting the 3D ultrasound navigation platform up and running again and helping to improve it. The student will also investigate new HIFU treatment planning for achieving full conformal ablations of HCC volumes. First, the student will investigate the theoretical feasiblity, by carrying out numerical HIFU modeling (Rayleigh integral, heat transfer equation in biological tissues for thermal therapy) using CIVA software. Finally, the student will assist the team to investigate experimentally the feasibility of conformal HIFU therapies in an in-vitro liver model. In case of success, the student could participate to in vivo investigations at the end of his/her project. The Master's/Engineering student will be working with two PhD students, one being a biomedical engineer and the other an interventional radiologist. A Researcher Associate will supervise the work.
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Tuesday 12 December 2023 - Response deadline: Sunday 30 June 2024
The aim of this master’s or engineering’s degree internship will be to characterize the electromechanical and electroacoustic properties of transducer prototypes implementing this method and to design a setup enabling the experimental validation of the results previously obtained through simulations. At a later stage, in vitro experiments validating the neurostimulation capabilities of the prototypes will be performed.
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Tuesday 12 December 2023 - Response deadline: Sunday 30 June 2024
The aim of this master’s or engineering’s degree internship will be to study current hypotheses of neural signal generation and transmission across neural networks as a result of FUS stimulation. In addition to operating and fine tuning the aforementioned hybrid platforms, the candidate will be expected to develop tools to analyze and display acquired data in such a manner as to address the project’s objectives and hypotheses.
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Monday 16 October 2023 - Response deadline: Sunday 30 June 2024
Télécharger la fiche au format txt
Internship
Place: LabTAU - Release date: Friday 9 June 2023 - Response deadline: Sunday 30 June 2024
The overall project aims to develop a network of highly sensitive, wireless, and autonomous sensors to monitor physiological parameters, such as heart rate, glucose levels, or neuronal activity, in real time. While many similar sensors have been developed, few have been successfully applied in clinical settings due to challenges such as reliability, patient discomfort, and the potential for allergic or inflammatory responses. The goal is to overcome these barriers through the creation of miniaturized, comfortable, and wearable biosensors. Preliminary work has shown the potential of using an ultrasonic transceiver to measure physiological activity indirectly through the measurement of a piezoelectric element. The project's core is to evaluate the feasibility of simultaneously measuring electrical potentials variations on multiple transducers, using beamforming techniques, to indicate neuronal activity.
Télécharger la fiche au format txt