Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
insurance, supported by INESC TEC. 2. OBJECTIVES: - Review state of the art, develop benchmarks, and create a proof of concept for advanced precision agriculture models based on integrating spectral data
-
the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co
-
interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
-
INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models
-
: The work plan addresses the needs in current Research and Development (R&D) projects in INESC TEC to build energy-efficient software prototypes for training deep learning models on large-scale
-
; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
-
industrial-grade communication protocols for automation in electric power systems.; Implement the interface between OPAL-RT and HMI/SCADA software: connecting the real-time model or digital twin with the SCADA
-
documentation (reports and specification notes).; - Develop simulation models (e.g., agent-based/spatial) of animal movement and pasture dynamics, calibrated from real data.; - Integrate ML forecasts (meteorology
-
, energy consumption, and accuracy.; ; Training deep learning models, especially in LLMs, faces critical challenges that compromise the optimal use of GPUs. These bottlenecks result in poor computational
-
, Portugal Job description: Work Area: Data Management and Governance in Digital platforms. Project overview: This position involves researching new models, methods and tools for data management and governance