Obtention de profils génétiques grâce aux polymorphismes d’insertion de rétrotransposons à partir d’éléments pileux avec et sans follicules.

One of the situations that the Forensic Science needs to address is to establish the identity of a human or an specimen from a biological sample. The contribution of this project will be to obtain an optimized method for extracting DNA from hairs with and without follicles and to generate allelic frequencies suitable for use […]

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Stage ESPCI Paris automne 2024

Nous allons faire l’analyse par résonance magnétique nucléaire du solide de bétons contenant du métakaolin (argile calcinée). Il est considéré que le métakaolin pourrait éventuellement remplacer le ciment Portland, dont la fabrication est l’un des principaux contributeurs à l’émission de gaz à effet de serre. Ce stage se fera dans le laboratoire de Science et […]

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Optical characterization of 2D functionalized nanomaterials in the gas phase

Graphene is a promising new nanomaterial, single layers of graphite, with superior physical and electrical properties making it an ideal candidate for electrical applications; however, current graphene production methods are expensive and complicated. As a result, new materials that have similar properties to graphene, but are more amenable to high-yield production are currently being investigated. […]

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CO24-150-ICESI1

This internship, in collaboration with the Public Actions Group of ICESI University (GAPI), focuses on the critical study of climate change’s impact on human migration and human rights. Our investigation will cover seven key topics: natural phenomena driving human mobility, the effects of climate-induced migration on human rights, the vulnerabilities of migrating groups, livelihood losses […]

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Remote Video Surveillance using LEO Satellites Communications

Video surveillance systems have rapidly expanded, driven by their critical roles in security and traffic monitoring. This expansion has produced vast data volumes, causing bottlenecks in communication systems due to the time-sensitive and bandwidth-intensive nature of surveillance data. To address these challenges, research has increasingly focused on developing algorithms to compress redundant data effectively, evolving […]

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An exploratory investigation of Geographic Information Systems (GIS) applications to support the Vietnam Cleaner Production Centre’s sustainable Pangasius bocourti (Basa Fish) industry project

This research project will explore how a Geographic Information System (GIS) analysis can aid in enhancing the sustainable Basa fish industry in Vietnam. Enhancement is achieved through increasing market value, reducing the impact on global seafood supply chains and reducing negative local environmental impacts. GIS is an application that allows for complex spatial analysis of […]

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Development of novel isolator for seismic application

The proposed semi-active rolling seismic isolation system offers an innovative solution to address limitations in passive isolators when exposed to near-fault seismic waves with velocity pulses. Passive isolators effectively control acceleration responses against typical far-field seismic waves but can allow excessive displacement responses during near-fault events, risking collisions and structural damage. This system integrates sloped […]

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Explainable AI Models to Predict Metabolic Cancer Biomarkers

Cancer’s persistent prevalence calls for innovative steps in early detection and therapeutic interventions. Metabolomics offers a comprehensive view of the metabolites that measure the function of cellular processes in this context. As explainable AI (XAI) emerges, it sheds light on these intricate systems’ decision-making processes and outcomes, making them accessible to human understanding. The project […]

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Cost-Effective and Intelligent Monitoring of Large-Scale Software Systems

This research project aims to tackle the challenge of ensuring the reliability of large-scale software systems, which are crucial for various applications such as online services and data processing. The project focuses on developing cost-effective and intelligent methods for monitoring these systems to anticipate and prevent runtime incidents, such as crashes or errors, which can […]

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Inferring 2D exsitu distribution of galaxies with AI

The proposed research project aims to gain crucial insights into the stellar assembly of galaxies using advanced machine learning techniques. Most galaxies in the Universe are not isolated systems; they grow primarily through interactions and mergers with other galaxies. While we know that mergers significantly impact galaxy evolution, quantifying the contribution of accretion to a […]

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Dutch Neo-Calvinist Herman Bavinck’s Reception of Protestant Reformer John Calvin within the Doctrine of Christ’s Descent into Hell

This research project aims to explore the Dutch Reformed theologian Herman Bavinck’s reception of Protestant reformer John Calvin’s theology within the Christian creedal doctrine of Christ’s descent into hell. Following Calvin and other Reformed theologians, Bavinck saw Christ’s descent into hell as an expression of the spiritual agony which he endured on the cross, and […]

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