Prostate cancer is the most diagnosed cancer in men, and the most common complication of this cancer is metastasis to bone, particularly, to the vertebrae. Mineral ellipsoids, a recently identified structural component of bone, are largely uncharacterized at both the structural and chemical level. Although these structures have been identified in mouse and human bone, […]

Ce projet vise à mieux comprendre comment les équipes et les systèmes parviennent à gérer des situations critiques en aviation. Il s’appuie sur l’accident du vol Southwest Airlines 1380, survenu en 2018, lorsqu’une défaillance moteur a entraîné une dépressurisation rapide de la cabine. Malgré la gravité de la situation, l’avion a pu atterrir en toute […]

Modern biological research relies heavily on antibodies to detect and measure proteins, from genetics research to diagnostics and drug development. Measuring binding kinetics for antibodies is important for inferring specificity, affinity, and its mechanism of action. Existing kinetics assays are powerful, but they often require large sample volumes and provide only averaged signals, making it […]

This project aims to advance the commercialization strategy of a closed-loop microneedle-based biosensing platform for real-time therapeutic drug monitoring. The technology integrates hydrogel microneedles with electrochemical aptamer-based sensors to continuously measure drug concentrations in interstitial fluid and enable adaptive dosing. Initially developed for vancomycin monitoring, the platform addresses critical limitations of conventional therapeutic drug monitoring, […]

This project will study how well LoRaWAN can work for direct communication with Low Earth Orbit (LEO) satellites to connect IoT sensors in remote “no-coverage” areas. The intern will use a simulation tool to model thousands of devices sending data to a satellite during a single pass and will measure how often messages succeed or […]

Resistive memories have emerged as a pivotal advancement in modern electronics, offering remarkable advantages in energy efficiency, scalability, and non volatile operation. However, TiO2 based OxRAM devices still face key challenges, particularly regarding circuit level variability and the limited number of demonstrations in realistic application settings. This project addresses these gaps by thoroughly characterizing OxRAM […]

Modern computer systems increasingly rely on shared memory technologies that allow multiple components, such as processors and accelerators, to access the same data. Compute Express Link (CXL) is a new industry standard designed to enable this kind of shared memory while preserving important correctness guarantees. While formal models describe how CXL systems are expected to […]

This project develops specialized computer hardware to process data from advanced quantum cameras in real-time, enabling breakthrough applications in medical imaging, biological research, and astronomy. The work addresses a critical limitation in current quantum imaging systems, which must record data during experiments and analyze it later. This is a time-consuming process that prevents researchers from […]

This project focuses on validating a next-generation green hydrogen production technology and advancing its path toward commercialization. Green hydrogen is widely recognized as a critical solution for reducing greenhouse gas emissions in industries such as chemicals, energy storage, manufacturing, and transportation. However, today’s green hydrogen production methods are still expensive and energy-intensive, limiting large-scale adoption. […]

The project aims to design and develop an algorithm that can diagnose faults in planetary and fixed-axis gearboxes. Common faults in gearboxes are often masked by the Gear Meshing Frequency, making them difficult to detect via classical spectral analysis. A multi-harmonic index approach based on an adaptive combined envelope spectrum is selected as the foundational […]

The LoC-SensAl project develops an affordable system to help farmers manage irrigation in real-time using low-cost sensors and Artificial Intelligence (AI). One intern will focus on designing the physical sensors to measure soil moisture, while the other will create AI models to turn that data into precise watering schedules. This technology will help farmers save […]

This project will evaluate a new material designed to selectively capture lithium from battery recycling solutions and lithium extraction streams in a cleaner and more efficient way. Current recovery methods often rely on high chemical use and energy-intensive processes that increase cost and environmental impact while recovering lithium inefficiently. The project will work directly with […]