261 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
-prone Mediterranean, and the Alps, to the growing risk of wildfire in northern Europe. An online survey has provided a baseline of data, and in-person interviews has generated a rich body of in-depth
-
, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
-
animals. Across all three components, the project will involve high-resolution mass-spectrometry and complementary data streams to explore how exhaled metabolites reflect physiological status. Job
-
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
-
portal. Applications via email or postal services will not be considered. Further information about the deMello group can be found on our website . Questions regarding the position are welcome, and should
-
email or postal services will not be considered. Further information about the deMello group can be found on the website . Further information about CSEM can be found on their website . Questions
-
process The review of applications will begin on 23 February until the position is filled. Further information about the Planetary Geochemistry group can be found here . Questions regarding the position
-
, 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
-
interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your
-
, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling