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DISTRIBUTED SYSTEMS

Porto - Porto

Descrição da oferta de emprego

Design and implementation of artifact simulation models to serve the artifact correction model; - Implementation and optimization of the artifact correction model in magnetic resonance images; - Design and implementation of federated computing environments using NVIDIA Flare and Flower.
- Experimental validation of the prototype developed in HPC environments.
The tasks described in this work plan require the application and development of concepts and techniques from the field of Biomedical Engineering, typically taught in curricular units that make up the core of the branch in Medical Informatics study plan.
Academic Qualifications Enrolled in the Masters in Medical Informatics from the study plan of Biomedical Engineering.
Minimum profile required - Solid knowledge of deep learning architectures and tools (i.
.
TensorFlow, PyTorch, GANs, CNNs).- Solid knowledge of medical image evaluation and metrics (i.
.
SSIM, NMI).- Solid knowledge of federated learning tools (i.
.
Flower, NVIDIA Flare).- Solid knowledge of distributed systems.
Preference factors - Experience with the Python programming language.
- Experience in developing and applying deep learning models.
- Experience using federated learning tools.
- Experience using HPC environments (e.
.
SLURM).
Application Period Since 18 Apr to 03 May Centre High-Assurance Software Scientific Advisor António Luís Sousa
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Detalhes da oferta

Empresa
  • INESC TEC
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 18/04/2024
Data de expiração
  • 17/07/2024
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