Epigenetic modulators as targets in recurrent glioblastoma

Glioblastoma (GBM) is the most common brain cancer in adults. Despite undergoing extensive treatment, patients with GBM typically have a dismal survival rate of only 12-16 months. Furthermore, many patients eventually experience tumor relapse. Proteins such as epigenetic modulators function to change how genes are activated in DNA without altering the genetic code. Inhibiting such […]

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Upgraded: Strategic Innovations in B2B Communication

The proposed project aims to create and implement new strategies for business-to-business (B2B) outreach. By developing innovative approaches to engage with other businesses, the project seeks to enhance communication, build stronger partnerships, and drive growth. The expected benefit to the partner organization includes increased reach, more effective lead generation, and higher revenue through targeted B2B […]

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Investigating Arctic Ringed Seal (Pusa hispida) Haul-Out Behaviours Through Acoustic and Photo Analysis

This research project focuses on understanding how ringed seals communicate during haul-out events in the Northwest Territories. Ringed seals are vital to Arctic ecosystems but face threats from climate change and increased shipping. By analyzing acoustic and photo data provided by our partner organization, we aim to discover if these seals change their vocalizations when […]

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Using Historical Aerial Photography to Identify River Changes as related to Forestry Practices in Musgamagw Dzawada’enuxw Territory

The decline of Pacific salmon on the south and central coast of British Columbia has resulted in well-recognized economic, ecological, and cultural impacts. Numerous factors are considered to have contributed, including marine conditions, climate change, and changes to freshwater habitats. Forest harvesting is often considered to have altered freshwater habitats where salmon spawn and rear […]

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Addressing Endogeneity in count data using a two-stage copula generated regressor approach

This research project addresses a common problem in studying medical data: understanding the true effects of different treatments when the data is not from a controlled experiment. Specifically, we are looking at patients with systemic lupus erythematosus (SLE) and the number of infections they get. Often, traditional methods need special, hard-to-find data to ensure accurate […]

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Unconventional quantum annealing in many-body open quantum systems

Quantum computers promise significant advantages in solving complex problems currently intractable for classical computers by leveraging principles of quantum physics such as superposition, entanglement, and tunneling to perform operations on data. One well-known approach to quantum computation is quantum annealing, pioneered by D-Wave Systems Inc., which develops quantum annealing processors to tackle optimization and sampling […]

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Machine Learning developer intern working with Financial Services in the private sector to develop and commercialize AI-powered solutions (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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Short-term streamflow forecasting for the Oldman River

The proposed research project aims to develop accurate and user-friendly models to forecast daily streamflow for the Oldman River in Alberta. This project will involve using advanced machine learning methods, such as Artificial Neural Networks (ANNs), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM), to improve the reliability of streamflow predictions. By enhancing the […]

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Development and Testing of Advanced Energy Recovery Ventilator Geometries

Buildings globally play a substantial role in energy consumption, representing more than 30% of the total energy demand. However, this energy usage is hindered by a lack of efficiency in HVAC systems, insufficient insulation, and the continuous need for fresh air, resulting in approximately 30% of this energy being wasted. Energy Recovery Ventilators (ERVs) play […]

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