Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
-
, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical university and in developing research and
-
responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
-
well as internationally. Mentor students and interns. Experience a supportive group atmosphere. Define, jointly with the rest of the group, a work schedule that best fits your preferences and constraints. Have access
-
), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
-
Prevalence of Life by attending events therein. NOMIS-ETH Fellows are actively involved in NOMIS events and activities (as their schedule permits) and establish independent research ties with other members
-
stage of the assessment are scheduled for April 20 and 21, 2026. Be sure to reserve these dates. Applications via email or postal services can not be considered. Applications can only be submitted via