Sort by
Refine Your Search
-
Category
-
Employer
- Universidade de Coimbra
- INESC ID
- University of Aveiro
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Estudos Sociais da Universidade de Coimbra
- INESC TEC
- International Iberian Nanotechnology Laboratory (INL)
- UNIVERSIDADE DE ÉVORA
- Universidade Católica Portuguesa - RIO
- Universidade do Minho - ISISE
-
Field
-
models in the scope of the project GreenNanoBone “Sustainable 4D hydrogels functionalised with plant-based nanoparticles for bone regeneration in cancer patients” (reference Grant agreement ID: 101177877
-
months to two years, or per longer period. 1. OBJECTIVES | FUNCTIONS Development of techniques aimed at enhancing the efficiency of complex ML pipelines, with emphasis on methods aimed at predicting
-
of the economy, to the international dynamics of peripheralization, to the complexity of work as a structuring dimension of contemporary life, to the multidimensional and multiscale conditions of democracy and the
-
microgrids. • Develop advanced computational simulation models, ranging from the simulation of complex and representative use cases to the detailed modeling of components such as power cables, power converters
-
domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
-
the modulation of inflammation, oxidative stress, and metabolism. The selected candidates will develop research in vitro and animal models of diabetic wounds, with preference given to candidates with proven
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
funds (HORIZON EUROPE Workplan: The researcher will work on gravitational waves and the physics of black holes, including searches for physics beyond general relativity and the standard model, as
-
Intelligence algorithms: deployment of advanced AI algorithms, such as convolutional neural networks (e.g., ResNet, VGG) and object detection models (e.g., YOLOv5, YOLOv8), for the automatic recognition
-
solution; Activity 3 - Development of numerical prediction tools and models; Activity 4 - Parametric studies, analysis, and optimization of solutions; Activity 5 - Production of prototypes for experimental
-
electronic sensors, fitting it to physiochemical models to understand NP and surface interactions, and perform optimisations for sensing purposes; Perform sample preparation and isolation of NPs; Design and