Simulation Research

Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from simulations that replicate real-world conditions. We would like to collaborate with students to conduct our simulations. This will involve several different steps for the students, including: Familiarizing themselves with our research project and objectives. Familiarizing themselves with our simulation and modelling. Running simulations and comparing results to experimental data. Tuning simulation parameters to better match experimental conditions. Reporting the results of simulations. Bonus steps in the process would also include: Researching other simulations and models to compare our simulation against.

Mobile App UI / UX Design & Prototype

Our company would like to explore designing a prototype for a native mobile application version of our current web based product. We currently have a lot of traffic to our product via the web and we would like to start to attempt to capture some of that user activity via a mobile application. Tasks may include: Conducting background research on our existing web application for the product. Identifying key areas of our current product and how they might translate to a mobile application. Learning and using various software design tools. We strongly recommend students learn how to use Figma as this is the latest and greatest tool currently available. Creation of a screen by screen UX / UI prototype of a native mobile application which can be used on both iOS and Android Conducting UX / UI testing with real potential users potentially involving paper prototypes or other software tools to support this

Artificial Intelligence & Machine Learning Application

We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Optical Character Recognition (OCR) for chemical code

Project Description : Welcome to Living In Silico Inc.! We are thrilled to present an exciting opportunity for talented students to contribute to our innovative project, Optical Character Recognition (OCR) for chemical code Main Goal : The primary objective of this project is to test their coding. We want students to not only understand the significance of their contributions but also feel confident that the project is manageable within a realistic timeframe of 60 hours, spread over 2-8 weeks.