Market Research - Industrial Heat

With the increasing demand for reliable low-carbon energy solutions, the widespread deployment of Small Modular Nuclear Reactors (SMRs) is anticipated worldwide. As a result, our group of companies is actively expanding its consulting services within the nuclear industry. We believe that one of the major demand drivers for SMRs will be thermal demand from industries that are looking to decarbonize. Our objective is to gain a comprehensive understanding of the thermal demand. To achieve this, we are seeking to collaborate with students who can assist us in conducting market research.

Collaborative Cutting-Edge Research Internship in AI and Diagnostics

The main goal of this project is to engage talented Master and PhD students in ground-breaking research on AI and diagnostics. The primary deliverable for this collaboration will be the submission of the co-authored publication to a peer-reviewed journal. Additionally, the research findings will be featured on the Provista AI company blog. Successful submissions will enhance your academic portfolio and contribute to the advancement of AI in healthcare diagnostics. Example Topics for Collaboration Safe Implementation of AI Diagnostics Governance: Explore frameworks and best practices for ensuring the safe integration of AI technologies in clinical settings. Ethical Considerations in AI-Driven Diagnostics: Investigate the ethical implications of using AI in healthcare, focusing on patient privacy, consent, and data security. AI and Diagnostic Accuracy: Assess the impact of AI on diagnostic accuracy, comparing traditional methods with AI-enhanced techniques. Machine Learning Models for Early Disease Detection: Develop and evaluate machine learning models aimed at early detection of diseases such as cancer, heart disease, and neurological disorders. Economic Impact of AI in Healthcare: Analyze the cost-effectiveness of implementing AI solutions in diagnostics and their potential to reduce healthcare costs. Note: These topics are only examples, and we are open to exploring a wide range of topics related to AI and diagnostics. We encourage innovative and diverse ideas that can contribute to the advancement of healthcare technology.