Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
-
, you will gain valuable insights into the fundamental mechanisms shaping the future of recycling technology. Embrace the array of cutting-edge spectroscopic and analytic techniques (e.g., EPR, SEC, Raman
-
motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest
-
conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
-
University. The Faculty of Archaeology is internationally leading for its research, home to a broad array of specializations and notable for its strong connection between teaching and research. Home to over
-
University. The Faculty of Archaeology is internationally leading for its research, home to a broad array of specializations and notable for its strong connection between teaching and research. Home to over
-
. Embrace the array of cutting-edge spectroscopic and analytic techniques (e.g., EPR, SEC, Raman, IR and TGA) within the Inorganic Chemistry and Catalysis (ICC) section, enhancing your proficiency in catalyst
-
to develop the central integrated microfluidics circuitry for laboratory evolution of synthetic cells. We will develop a lab-on-a-chip platform that integrates OLA production of liposomes, trap arrays, local
-
for ground/space segment threat collection via existing and novel interfaces, including multi-source sensor intelligence collection, fusion and dissemination. 5) Applied forensics for space missions
-
integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we