Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
analytics using R. Strong written and verbal communication skills in English. Familiarity with LaTeX is a plus. Must be currently enrolled in a master's program at the University of Basel. We offer you
-
occasions of interaction with world leaders in the fields of cancer, basic immunology, and cancer immunology (see Ph.D. lecture series at https://ior.usi.ch/education/phd-program ). The lab of Prof. Andrea
-
. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
-
their application, each fellow proposes an interdisciplinary event centered on their work, contributing to the Collegium's academic and artistic program. The fellowship can be used to develop a proposal for a major
-
society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
-
cathedral in France, a survey of mediaeval bridges, and a project on the development of the art of vaulting 1000-1300. In the recent past, we have also carried out several projects in the history of brick
-
disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
-
, developing novel and innovative independent lines of research and significantly contributing to the lab's scientific vision.
-
We offer you The Department of Biomedicine is an equal opportunity employer and a cutting-edge research facility that provides excellent training and career development opportunities for his
-
" (D2M). This innovative project is a collaboration between the University of Basel, the Bern University of the Arts, and the FHNW. The goal is to develop a highly automated, reproducible pipeline