Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
-
candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience in theory, development, or usage of formal methods. Fluency in English is
-
experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
-
and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
-
, sustainability assessments, etc. Research areas include: Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. Adopt theoretical research results (algorithmic developments
-
research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation
-
robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within this postdoctoral position. The appointed
-
, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected
-
candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
-
closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership