Deep Learning for 3D Brain Imaging & Synthetic Data

Italian Ministry of Education, University and Research; Italia; In loco; EUR 42.000 - 64.000; Tempo pieno

Descrizione del lavoro

LENS Research Field Physics in Italy invites applications for a research position focusing on processing and analysis of large volumetric images from light-sheet fluorescence microscopy of human and mouse brains, within the Human Optical Brain Mapping project.

The role requires a Master degree in Biomedical Engineering and expertise in Python, deep learning, and machine learning, with experience in image processing libraries and segmentation.

Competenze

• Master degree in Biomedical Engineering.
• Experience analyzing volumetric fluorescence images, programming, deep learning, and machine learning.
• Experience with Python and major libraries for image processing and neural networks; knowledge of segmentation methods, domain adaptation and/or generative models for synthetic data.
• Experience with lightsheet fluorescence microscopy images, large 3D datasets, annotated ground truth management, and high-performance computing environments will be considered an advantage.

Mansioni

• Process and analyze large volumetric images from light-sheet fluorescence microscopy of brains (human and mouse).
• Develop and implement advanced computational methods for automated image analysis, focusing on segmentation and quantitative information extraction.
• Compare datasets from different experimental conditions and manage annotated ground truth data.

Conoscenze

Python

Deep learning

Image processing

Machine learning

Segmentation

HPC

Domain adaptation

Generative models

Formazione

Master in Biomedical Engineering

Strumenti

PyTorch

NumPy

SciPy

TensorFlow

Descrizione del lavoro

LENS Research Field Physics in Italy invites applications for a research position focusing on processing and analysis of large volumetric images from light-sheet fluorescence microscopy of human and mouse brains, within the Human Optical Brain Mapping project.

The role requires a Master degree in Biomedical Engineering and expertise in Python, deep learning, and machine learning, with experience in image processing libraries and segmentation.