Machine Learning Engineer, Connectomics
Tasks
- Build connectomics data pipelines
- Create connectomic data visualizations
- Develop affinity prediction workflows
- Develop image segmentation workflows
- Implement synapse detection workflows
- Implement watershed post processing
- Optimize volumetric microscopy pipelines
- Perform neural reconstruction workflows
- Process n dimensional image data
- Run controlled machine learning experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Affinity prediction | BigDataViewer | C++ | CAVE | Cloud infrastructure | CloudVolume | Computer Vision | DVID | Data Processing | Data Systems | Distributed data | Distributed data processing | Documentation | Fiji | GPU Inference | GPU Kernel | GPU Kernel Development | High Throughput | High Throughput Pipelines | Image Processing | Image Segmentation | ImageJ | Kernel development | Large Scale Data | Large scale data systems | Large-scale | Machine Learning | N5 | Neural reconstruction | Neuroglancer | Python | Reproducible Workflows | Synapse Detection | TensorStore | Testing | Version control | Volumetric Image Processing | Watershed Segmentation | Zarr
Education
N/A
Regions
Countries
States
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