
Labour-inclusion of young people with reduced work capacity
The aim of the project is to generate knowledge on barriers and facilitators for successful transitions and pathways for young unemployed people with reduced work capacity.
The aim of the project is to generate knowledge on barriers and facilitators for successful transitions and pathways for young unemployed people with reduced work capacity.
By combining machine learning and physics-based modelling, we can get the best from both worlds – in models that utilize the information that lies in the data while respecting the laws of nature.
How can we make autonomous underwater robotic intervention more robust by understanding and utilizing the uncertainty involved in the sensing-perception-manipulation pipeline? This is the topic for the SAFESUB project.
This project aims to adapt the new noise estimation methodology to Norway's unique conditions, by using large amounts of unmanned measurements and machine learning.
This project sheds light on UngRehab, a residential intervention aimed at young adults (18-30 years old) at risk of falling outside the workforce. The goal is to explore participants' experiences with UngRehab to identify effective methods and areas...
The volume of the placenta can say something about the risk of complications during pregnancy, but there are today no effective methods for measuring this volume. In RAMPUS 2 we will develop such a method.
The IPN project TechDebtOps aims to explore the possibilities of managing technical debt continuously through a data-driven approach, ensuring the sustainable development of software and services for the future.
An evidence-based e-system for workplaces with a vision of ‘Zero Musculoskeletal Disorders at Work'
The project's aim is to provide knowledge about ambulatory mental health care for children in child welfare institutions, from the perspective of child welfare. We look at different forms of ambulatory mental health care, what characterizes the help...