DeepTech Needs

Sustainable energy courses focus on generating, storing, and distributing renewable energy. Sustainable Energy is a vital deep tech area that universities should integrate into their curricula to prepare students for the challenges of transitioning to a decarbonized energy sector.

In today's digital world, algorithmic skills are crucial for the job market and innovation. They are fundamental in industries like software development, data analysis, and AI. These skills enhance logical thinking and problem-solving, valuable in computer science and decision-making.

AI Agents play a pivotal role in DeepTech education, research, and industry. Their ability to learn, adapt, and automate tasks makes them indispensable for the future of work and innovation.

Digital fabrication experts must excel in additive and subtractive manufacturing, IoT integration, and advanced materials. Fab Labs are crucial for learning and innovation, emphasizing design thinking, rapid prototyping, software development, and data analytics. Sustainability and circular economy

There is a need for engineers to understand how practitioners work and have a background on various clinical aspects even if they are not clinicians, in order to provide relevant technological tools in MedTech.

In the fast-paced tech world, DeepTech demands not just technical expertise, but also the ability to market your innovations. Marketing skills helps you bridge the gap between your tech skills and the market's needs. This plays an important role when pitching to investors and also selling in market.

Digital Twin of robotic systems can be built leveraging also on Offline Programming Tools

Human-robot collaborative tasks require adding force-controlled application, hence tactile sensing and force sensing, along with the required programming tools

In Industry 5.0, robotics experts need skills in vision systems, particularly calibration, detection, and identification of objects (also via AI)