EMBL
Life Sciences
AMBERPostdoctoralFellowship:DevelopmentofAIassistedsampleoptimisationworkflowsforcryoEM
“AMBER Postdoctoral Fellowship: Development of AI-assisted sample optimisation workflows for cryo-EM at EMBL. Skills: AI-assisted workflows, Cryo-EM sample prep, Data integration. Develop AI-assisted sample optimisation workflows. Apply machine learning to sample preparation”
Industry & Context.
Data-driven optimization
Must not have resided in host country > 12 months in last 3 years
What They're Looking For.
Must Have
Maximum 8 years after doctoral degree, At least one original publication, Background in relevant methods, Complete application package submitted
Nice to Have
MSCA mobility rule compliance
What You'll Do.
Develop AI-assisted sample optimisation workflows
Apply machine learning to sample preparation
Automate reproducible workflows
Integrate sample prep and quality control instruments
Develop database for sample metadata
Train specialized AI models
Integrate database with EBI resources
Align sample preparation metadata
Relate sample records to entries
Act as primary contact between Grenoble and EBI
How You'll Work.
Team & Collaboration
EMPIAR and EMDB teams
Applying for this AMBER Postdoctoral Fellowship: Development of AI-assisted sample optimisation workflows for cryo-EM role?
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