Explainable 3D ViT Model Development

I am seeking a skilled machine learning expert to build an Explainable 3D Vision Transformer (ViT) model for early detection of Alzheimer's disease using structural MRI (sMRI) data. The primary goal is to develop a model that not only accurately predicts early signs of Alzheimer's but also provides insights into its decision-making process.

Key Requirements:
- Develop an Explainable 3D ViT model using TensorFlow
- Utilize structural MRI data for model training and validation
- Implement explainability techniques to elucidate model predictions (e.g., Saliency maps, Grad-CAM, or SHAP values, based on your expertise)

Ideal Skills and Experience:
- Strong proficiency in TensorFlow and deep learning frameworks
- Experience with 3D Vision Transformer models
- Background in medical imaging, particularly MRI data
- Knowledge of explainability techniques in machine learning
- Ability to handle and preprocess large datasets

Your expertise will be crucial in advancing early detection methods for Alzheimer's, and I look forward to collaborating with you on this impactful project.