Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
and motived team, both at ESA and at our industrial counterpart. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic
-
sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
-
data centers, AI acceleration, 6G, radar, and sensor technologies. Contribute to TU/e’s educational mission by teaching MSc courses and strengthening the semiconductor lab flow, enabling students
-
assessing deep learning models in ESRI ArcGIS Pro, or alternative approaches as appropriate). Work with international project collaborators to connect analyses with ground-penetrating radar investigations
-
, or radar meteorology. Desired : The ideal candidate should have a strong background in meteorology. Previous degrees in Atmospheric Sciences or Meteorology are preferred. The candidates research program may
-
, all candidates are invited to read carefully the NUSTPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng
-
residential environments (https://idlab.ugent.be/resources/homelab ). Experimental validation can be backed by modelling or theoretical assessments. You collaborate with IDLab colleagues working on other radar
-
more frequent and intense extreme rainfall events, creating serious challenges for flood risk management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be
-
of American Universities. For further information, visit the web site at http://bloustein.rutgers.edu . Posting Summary Rutgers, The State University of New Jersey is seeking a Development Specialist II for
-
radar imagery and field data acquisition. Minimum of three (3) years of research experience collecting, processing and analyzing geospatial data, preferably within a university research, government, or