27 data-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at University of Bergen
Sort by
Refine Your Search
-
Additional Information Work Location(s) Number of offers available1Company/InstituteAI LEARN centreCountryNorwayCityBergenGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street
-
Website https://www.jobbnorge.no/en/available-jobs/job/291178/researcher-1109-in-data-d… Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation
-
information about the recruitment process, click here . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291161/phd-research-fellow-in-da… Requirements Research FieldEngineeringEducation
-
and natural seepage. This evidence includes oil slick observations from Synthetic Aperture Radar-data, gas plume observations from multibeam echo sounder data, and observations of seepage during ROV
-
on respiratory disease in a longitudinal perspective. It will be based on data from a large cohort of individuals extending back to 1990 from the Respiratory Health in Northern Europe (RHINE) study, as
-
of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic
-
. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
-
clearly. The Evaluation Committee may, in special cases, request additional documentation. Shortlisted candidates will be invited to an interview. Further information about the appointment process is
-
| UiB . General information The assessment will emphasise the quality of the project description and its relevance and importance towards the project, as well as the applicant’s academic and personal
-
treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology