13 algorithm-development-"Prof"-"Prof" Fellowship positions at University of Minho in Portugal
Sort by
Refine Your Search
-
Listed
-
Field
-
at consolidating the scientific training of the scholarship holder through the development of research work leading to the respective academic degree. The scientific work to be developed consists of: Design and
-
processes. Preferred factors: Experience in developing robotic solutions for automating the replenishment process in vertical refrigeration units; Experience with robotics simulators; Experience with
-
: The work plan will focus on R&D activities aimed at consolidating the scientific training of the scholarship holder through the development of research work leading to the respective academic degree
-
well as the pedagogical adequacy of the responses generated by the model. The scientific work to be developed consists of: Preparation of the Experimental Environment and Sample Selection: Prepare the experimental
-
interactions with the system, as well as the pedagogical adequacy of the responses generated by the model. The scientific work to be developed consists of: Preparation of the Experimental Environment and Sample
-
factors: Priority will be given to applicants: ▪ with knowledge in the area of mentoring programs and activities development and/or in areas related to the development of personal, professional and career
-
aimed at consolidating the scientific training of the scholarship holder through the development of research work leading to the respective academic degree. The scientific work to be developed consists
-
data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
-
; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development and implementation of a system based on advanced language models (LLMs) with the aim
-
at the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific training programme", of the "Recovery and Resilience