Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
mathematics and its applications. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before October 1, 2025, and include: A Curriculum
-
Responsibilities Both PhD’s will conduct one high-quality systematic literature review on existing methods and/or applications to integrate patient preference information, clinical outcome assessments, and
-
geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
-
meals for field teams, and renting and driving vehicles. Collecting and processing data, and ensuring regular backups to RUG and KNIR storage systems. Short stays at the KNIR Institute in Rome may be
-
PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
with antennas, evaluate different algorithms for EM field strength data, investigating the minimal needed sensors (up to nine), and controlling the equipment using in-line measured data (closed-loop
-
spectroscopy data and AI, to automatically identify textile fabrics with high accuracy in real-world sorting conditions by (1) defining optimal spectral bands, spatial resolution, and acquisition speed; (2
-
information on the gas properties and, therefore, on the composition of the gas. Important drawbacks of mechanical sensors are the fragility of the sensitive mechanical structures and susceptibility
-
the project, primary data collection will need to be done in Southern Kenya (Narok and Kajiado counties). Maasai Mara University in Narok county will provide on-the-ground assistance. The PhD position is
-
to collectively explore urban futures? This position is hosted by the Faculty of Geo-Information Sciences and Earth Observation (ITC) within the Sector Plan Beta II program’s focus area on Spatial Dynamics, which
-
testing, to achieve sub-second cycle times for robotic systems. 3. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation