Postdoktor i High-throughput Biofysik
Core
Developing high-throughput methods and quantitative models to study the binding and dynamic structure of DNA, RNA, and proteins.
Role type
Postdoctoral researcher in high-throughput biophysics
Builds
High-throughput measurement pipelines, deep learning models, and physical mechanistic models for molecular binding
Domain
Molecular biophysics, biochemistry, and machine learning
Deliverable
production ML models | product features
Required skills
High-throughput measurement techniques, fluorescence microscopy, image analysis, molecular cloning, protein purification, deep learning, programming, mathematical modeling, physics
Preferred skills
Bioinformatics, optical engineering, hardware-software integration
Technologies
Python, TensorFlow, PyTorch, ImageJ, FRET, SPR, NMR
Responsibilities
Develop microscopy and fluidics hardware/software pipelines for high-throughput binding measurements; design and prepare molecular sequence variants for binding studies; build sequence-dependent predictive deep learning and physical mechanistic models from binding data
Seniority
Postdoctoral researcher, independent research
