255 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
portal. Applications via email or postal services will not be considered. Candidates will be informed if their proposal is accepted for furhter consideration in January 2026. For information about the gta
-
of research interests related to the research offered (1–2 pages) Names and contact information for ideally three (or at least two) references The evaluation will start on January 8, 2026, and will
-
, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
-
the most recent draft of your thesis. Please note that applications without these documents will not be considered. More information about our research can be found at the website of Sustainable Food
-
climate-neutral future . Curious? So are we. We look forward to receiving your online application, which should include: A letter of motivation Your CV Contact information for two references
-
, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling
-
, and certificates Names and contact details of two referees Further information about the research group can be found on our website . Questions regarding the position should be directed to Prof. Dr
-
. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of psychiatry, Pr von Plessen. They should be submitted online by February 19th 2026 23:59
-
the legal and regulatory requirements of the position. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of Psychiatry, Pr von Plessen
-
100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can