Expertise in supervised and unsupervised machine learning
Experience with neuroimaging data processing
The position involves developing machine-learning algorithms for the automatic diagnosis of dystonia and predicting treatment outcomes using brain MRI datasets
Job Summary
The position involves developing machine-learning algorithms for the automatic diagnosis of dystonia and predicting treatment outcomes using brain MRI datasets.
Candidates will work within a multidisciplinary team of neuroscientists, neurologists, and geneticists at Mass Eye and Ear and Mass General Hospital.
This role offers excellent opportunities for future careers in academia or industry sectors such as pharma and biotech.
Matching Summary
The position involves developing machine-learning algorithms for the automatic diagnosis of dystonia and predicting treatment outcomes using brain MRI datasets.
Skills & Requirements
Must-have
PhD in computer science or related field
Expertise in supervised and unsupervised machine learning
Experience with neuroimaging data processing
Proficiency in Python and TensorFlow/Keras
Knowledge of cloud-based platforms like AWS
Nice-to-have
Strong publication record in academic journals
Experience with clinical translation and regulatory aspects
Ability to mentor junior staff members
Collaboration skills with multidisciplinary medical teams
Key Requirements
PhD or equivalent degree in computer science, neuroscience, or biomedical engineering
Broad proficiency in neural network architecture development
Advanced programming skills in Python and/or Matlab