The goal of this research project is to study and develop optimal strategies for operating anaerobic co-digestion processes involving organic waste with cellulosic substrate derived from paper wastes. The effects of enzymatic treatment to boost degradation of the paper wastes in anaerobic conditions will also be evaluated. Furthermore, best approaches for transitioning feedstock compositions, such as from lower to higher paper content and vice versa, will be investigated.

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge (e.g., detection of objects in noisy scenes from a maritime environment caused by the interference produced by the reflection of the radar waves on the sea).

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to use computational tools for predicting interactions in order to reduce experimental costs and improve safety.

Small surgical instruments can be used multiple times if cleaned properly after each surgery. At the end of the cleaning process, a visual inspection of each instrument is performed in order to detect any traces of soil such as blood, tissue or any other biological materials. However, the human eye is not a flawless sensor and soils that are not visible to the naked can be present.

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal combines different NDT-related subjects under the oN DuTy!

Ecology North wants to hire architecture, engineering and urban interns to assists in the research, outreach, awareness and education of the world’s most advanced sustainable building practices, towards the creation of a building that makes the best use of regenerative architecture, to heal the planet and the people. The project is for the construction of the Northern Centre for Sustainability.

Whether or not to undergo prenatal screening to assess the risk of certain genetic conditions in the fetus, and if so deciding among available prenatal screening tests, is a difficult decision faced by all pregnant women and their partners. However, few are aware of the implications of the various options. With shared decision making (SDM), patients and doctors share health decisions based on the pros and cons of all the options and on what matters most to the patient, so decisions reflect this knowledge and the preferences of those involved.

We propose development of miniature fluorescent microscope with flexible spatiotemporal photostimulation patterns of ensembles of neurons in freely behaving animals.For precision and targeted photostimulation of light-activated proteins (opsins), the light beam from high power incoherent light source will be shaped by user-controlled digital micromirror device (DMD). The light patterns formed by DMD will be sent via fiber bundle to miniature imaging system that can be implanted on the head of the animal.