Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
-
. Our passion lies in materials science and technology, and at the Urban Energy Systems Laboratory (UESL), we develop strategies and methods to support the creation of decarbonized, resilient, and
-
of the EPFL Laboratory for Bio- and Nano-Instrumentation is centered on developing advanced nanoscale measurement technologies for applications in nanoscience, materials science and life science. We seek
-
Abstractions Lab (LASeR) develops programming languages and formal reasoning tools for networked systems. Networks are the invisible infrastructure that connects the modern world, yet programming and reasoning
-
-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
-
forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026
-
Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. The research project focuses on the development of solid electrode composites, so-called
-
decades, LBMM has developed powerful technology platforms in the field of biomedicine and genomics, also resulting in the establishment of two startup companies (www.veraxa.de and www.thera-me.ch ) and a
-
together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces
-
, diabetes and cancer; see https://data.snf.ch/grants/grant/189065 ii) developing and validation of novel chemical probes and degraders to dissect mechanisms of adverse effects in cancer and metabolism. For a