Postdoctoral Project Research Scientist - Machine Learning, Machine Vision & Data Integration - Andrea Serio - Serio Lab
Core
Develop machine learning, machine vision, and data integration pipelines to convert microscopy and live-imaging data of organoids and engineered tissues into actionable information for automated decision-making and quality control.
Role type
Postdoctoral Project Research Scientist (Machine Learning & Computer Vision)
Builds
Analysis pipelines and DNN-based models for the VISIBLE imaging-driven platform
Domain
Biomedical research / Bioengineering / Machine Learning / Computer Vision
Deliverable
production ML models
Required skills
Deep learning, computer vision, DNN-based analysis pipelines, Python, PyTorch, TensorFlow, scikit-learn, NumPy, pandas, data integration, model validation
Preferred skills
Microscopy image analysis, bioimage informatics, organoid/spheroid datasets, high-content screening, software control of instruments, robotics-oriented software engineering
Technologies
PyTorch, TensorFlow, scikit-learn, NumPy, pandas
Responsibilities
Develop ML workflows for microscopy and live-imaging data; build machine vision pipelines for segmentation, classification, and tracking; train and deploy DNN models for imaging-guided decisions; integrate imaging features with biological datasets; collaborate with biologists and engineers to create computational workflows; write maintainable code and documentation.
Seniority
Postdoctoral Researcher
