200 web-programmer-developer-"https:" "https:" "https:" "https:" uni jobs at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
to work with leading experts across Europe to develop solutions for Decentralised Critical Infrastructure Asset Monitoring and Condition Assessment . This position focuses on next-generation distributed
-
facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient
-
have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
-
With a service-oriented and improvement-driven mindset, you and the team will contribute to the continuous development of innovative, data-driven approaches and projects in the context of open data and
-
for the suppliers? R7: How is the market/security impacted by the failure of a large nuclear power plant? This work will be performed using currently developed or in-development tools at RRE. Namely, Euroem , a
-
typically conduct work related to membrane synthesis, experimental characterization, and transport modeling. Job description The postdoctoral researcher will lead and develop research activities on next
-
modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
-
the structure and function of plant pathogen genomes. We are looking for someone with prior experience in either fungal or transposon comparative genomics, who can explore the diversity and evolution of Starship
-
; Astronomical Instrumentation; Optical Design Skills Development During the PhD, the student will develop expertise in: Extreme-precision radial velocity (EPRV) instrumentation Optical design and tolerance
-
Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal