Sort by
Refine Your Search
-
for spatiotemporal wound monitoring and patient-specific, timely wound treatment. Your tasks In this PhD project, you will develop sensors integrated in adaptive wound dressings. The sensors will be designed by
-
temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to better understand the tradeoffs related to cooling technology
-
applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied
-
the implementation of mechanical testing combined with a variety of sensors to follow changes in the structures. You will use a range of surface analytical techniques to characterize the detected changes. You will
-
, and limiting the potential benefits of automation. To address this, the project leverages advanced data sources (e.g., high-resolution position sensors, accelerometers, force and power sensors
-
industry, NGOs, and scientists from plant biology and public health. The PhD candidate with closely collaborate with a Postdoc working on the project. Starting date/length of PhD program: At the earliest
-
project , the collaborating SNF project BeyondCloudLab (4 PhDs, 2 PostDocs) brings together a team including Prof. Lohmann and Dr. Henneberger (ETH) working on cloud microphysics and seeding, Prof. Mohr
-
an interdisciplinary team and participate in collaborating with other PhD and Postdoc members. The position will be held in the Microbial Physiology and Resource Biorecovery laboratory (MICROBE) led by Dr. Wenyu GU
-
closely with a Postdoc or Senior Researcher involved in the project. Starting date/length of PhD program: At the earliest 1.4.2025; not later than 1.8.2025; duration: 3 years