ML Research Associate - 2D & 3D Cell Image Modelling

BioUK; United Kingdom; On-site; GBP 34,000 - 52,000; Full time

Job summary

Franklin invites applications for a Research Associate to advance machine-learning modelling of 2-D and 3-D cellular images within the VirtuAI Cell project. The role focuses on developing ML methods to segment and classify cellular species from 2-D microscopy and 3-D tomography data, contributing to virtual cell mapping and in-silico simulations.

The successful candidate will design, build and deploy new feature selection and optimization strategies for ML modelling of cellular data, joining a

Qualifications

• Develop ML approaches to segment and classify cellular species from 2-D microscopy and 3-D tomography data.
• Explore feature selection and optimisation strategies for ML modelling of cellular data.

Responsibilities

• Analyse and interpret experimental datasets of 2-D microscopy

Skills

Machine learning

Data analysis

2-D microscopy

Job description

Franklin invites applications for a Research Associate to advance machine-learning modelling of 2-D and 3-D cellular images within the VirtuAI Cell project. The role focuses on developing ML methods to segment and classify cellular species from 2-D microscopy and 3-D tomography data, contributing to virtual cell mapping and in-silico simulations.

The successful candidate will design, build and deploy new feature selection and optimization strategies for ML modelling of cellular data, joining a