Sort by
Refine Your Search
-
proven by publications in this field Have a good understanding of NMR theory and computer simulations Understand the basics of NMR and EPR hardware Be able to optimize and maintain a home-built DNP system
-
variability described in the data by means of uncertainty aware calibration and Bayesian estimation Include how experts currently operate and acquire feelings for the machine they are driving, also based on a
-
in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
-
machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In
-
construction or related fields Knowledge and experience in data analysis and database management, as well as emerging technologies applied to the construction sector, such as BIM, scanning, machine learning
-
(or shortly thereafter). Project background The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and
-
Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis
on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data
-
also have initial experience with scripting to create computer-generated prototypes. In addition, you communicate at a proficiency level in English and German, additional language skills are a plus. Your
-
. Applications include sport and health. The candidate is to teach subjects related to biosignal processing. Project background Your research will aim to conceive and design innovative solutions for monitoring
-
emissions in the AEC industry. Research topics include, but are not limited to the following: Establishing innovative methods or digital tools (for example based on AI, machine learning, XR) for the full