Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
; German is beneficial. Experience in proposal or publication writing is an advantage. Required people skills Highly self-organized/structured way of working and solution orientation. Strong motivation
-
/or (Raman) spectroscopy High motivation and an independent, structured, and goal-oriented working style Workplace Workplace We offer The Energy and Process Systems Engineering (EPSE) Group focuses
-
well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in laboratory-based experimentation and engineering applications. A solid knowledge of English as the spoken and
-
programming skills in R (Git, Stata and/or Python are of advantage) Proficiency in data cleaning and management and experience working with complex datasets Reliable, structured and precise working style Strong
-
. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials science. Our core activities is the
-
applied successfully for a range of forest ecosystems in Europe. Systematic sensitivity analysis and structural uncertainty analysis will support the critical evaluation of what has been achieved, likely
-
to perform structured, well-documented experimental work. Strong motivation to work with animals. Curiosity for science. Good communication and teamwork skills. Proficient in English language. Desired (but not
-
the geological structures and potential reservoir Integrating extensive passive seismic recordings and borehole seismic data (including vertical seismic profiling, VSP) into the imaging and characterisation
-
structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and
-
driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical