-
aiming to improve the management of infected wounds. Our group is focused on: i) Developing novel fluorescent-based detection approaches for the continuous monitoring of wound healing. ii) Achieving
-
strong willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest
-
implementation of machine learning. PhD student position in the field of durability of wooden structures Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure
-
spectroscopy, along with cutting-edge machine learning approaches and statistical analysis, to enable timely identification of high risk for the chronic wound formation. Your profile We are looking for a highly
-
willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
-
Attractive employment conditions of the ETH Domain An international network and contacts to academic and industrial partners Position starting from July 2025 or upon agreement. We live a culture of inclusion
-
based on a double network hydrogel that eliminates not only the need for donor tissues, but also for sutures by simply adhering directly to corneal tissues under wet conditions. In the frame
-
is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
-
First Stage Researcher (R1) Country Switzerland Application Deadline 20 May 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research
-
» Materials engineering Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 5 May 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 38 Is the