70 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Code8006StreetRämistrasse 101Geofield Contact City Zurich Website https://ethz.ch/en.html Postal Code 8006 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
-
. Joël Mesot. The closing date for applications is 22 February 2026. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://ethz.ch/en/the-eth-zurich/working
-
, and emailed to: applications@natdek.unibe.ch . Candidates must also submit the online questionnaire, found at: https://www.iap.unibe.ch/about_us/ (applications are incomplete without this form
-
registration required before February 14th 2026 on http://www.unige.ch/academ For further information, contact: With a view to achieving parity, the University encourages female candidates
-
is 8 January 2026. We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/faculty
-
environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
-
understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
-
of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a significant computational component in deploying multi-GPU codes
-
) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
-
development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and