Simplified technique for measuring ammonia emissions during manure management: A validation study

Manure storage and spreading release various air emissions, including ammonia (NH3), methane (CH4), nitrous oxide (N2O), and particulate matter. Among these, ammonia is the most common gas emitted, which can harm air quality, human health, and the environment. High ammonia levels contribute to air pollution by forming fine particulate matter, which harms human health and […]

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Propagating Instrumental Systematics to Cosmological Analysis Pipeline for HIRAX

This research sheds light on the mysterious force of dark energy, driving the universe’s accelerated expansion, and reveals how cosmic structures evolve. Since hydrogen makes up most of the universe, its natural radiation at radio wavelengths allows us to map large volumes of space and track the distribution of matter. The Hydrogen Intensity and Real-time […]

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New quantum materials and new quantum sensors using ultra-cold atoms

The aim of this research internship is to contribute to our group’s research program using laser­ cooled gases to explore fundamental phenomena of quantum materials and to use them to realize new quantum sensors. This research program has two main objectives – the use of ultra-cold atomic and molecular gases to (1) realize new quantum […]

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Apprentissage automatique quantique (QML) en oncologie : application au cancer du sein et au cancer du poumon

Le cancer représente un défi majeur pour la santé mondiale avec des millions de nouveaux cas chaque année. L’intelligence artificielle (IA), notamment l’apprentissage profond, a amélioré la détection des tumeurs, mais transformer les grandes quantités de données médicales en informations cliniquement exploitables reste difficile. L’informatique quantique émerge comme une technologie prometteuse, notamment via l’apprentissage automatique […]

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Development of a modular aircraft propulsion simulation model

In this project a modular propulsion simulation tool will be developed, which is able to be integrated in an already existing framework for preliminary aircraft design. The developed tool shall then be used for analyzing different propulsion system configurations of conceptual aircraft, to compare these against each other regarding different metrics, such as efficiency and […]

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Modélisation d’une décharge électrique dans l’air en présence des gouttelettes liquides

Nous cherchons à adapter un modèle afin de modéliser l’initiation et la propagation d’une décharge électrique produite dans l’air avec la présence d’une ou plusieurs gouttelettes d’un liquide. bien que l’étude est fondamentale, elle va nous renseigner sur l’évolution spatio-temporelle de la densité des électrons et du champ électrique qui sont incontournables pour le développement […]

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Rare-Earth Metal–Organic Frameworks with 3D Linkers for Sustainable Separation Processes

This project aims to develop novel rare-earth metal-organic frameworks (MOFs), a type of porous material which by thoughtful design, have tunable properties which can be tailored to target the sustainable separation of valuable and otherwise energy intensive chemical separations such as the separation of hydrocarbons, usually performed by distillation. The project combines the expertise in […]

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Adaptation of a measuring communication skills program for healthcare practitioners for Colombia

Measuring the abilities of health practitioners to motivate patients to behaviour change is important. Healthcare practitioners are rarely adequately trained on how to engage patients on it. Healthcare practitioners often aim to promote behaviour change by providing unsolicited advice, which is not conducive to promoting behaviour change, due to not considering patient motivation or perceived […]

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Application of Machine Learning to optimize concrete properties, minimizing variability in concrete production

Self-consolidating concrete (SCC) is engineered to facilitate casting and accelerate the construction process while enhancing structural performance and durability. Its high deformability allows SCC to spread and fill formwork under its own weight, eliminating the need for external vibration. The mix design of SCC is critical for achieving an optimal balance between fluidity and stability, […]

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Doctoral student agency in career imagination: A qualitative case study in mainland China

This project aims to examine how doctoral students in mainland China navigate their agency in career imagination—how they think about and act on their career aspirations—during their studies. It investigates what personal, structural, and socio-cultural factors influence doctoral student agency, and how the interplay of these factors and agency shapes their career envisioning and action […]

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Artificial Intelligence for Improved Dosimetric Calculation in Radiotherapy

Cancer treatment by radiotherapy (RT) is essential yet complex, requiring precise radiation doses to effectively target tumors while sparing healthy tissues. This project addresses the frequent challenge of dose discrepancies-differences between the planned and delivered doses-due to factors such as patient anatomy, organ movement, and equipment variability. These inconsistencies can lead to increased toxicity or […]

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