AI Engineer - AI+CryoET
Janelia Research Campus, United States
USD 96K-299K Senior-level Full Time
Tasks
- Collaborate with interdisciplinary teams across institutions
- Design model training and evaluation pipelines with ablation studies
- Develop deep learning models for particle detection and localization in cryoET data
- Handle missing wedge artifacts and CTF effects in training pipelines
- Improve tomogram reconstruction using gold nanoparticle detections
- Lead annotation strategy and proofreading efforts
- Maintain well documented reproducible codebase
- Perform sim to real transfer from synthetic training data
- Publish results and present at conferences
- Train and evaluate supervised and self supervised models for 3D volumetric imaging
Perks/Benefits
- Health benefits
- Oncampus Housing
- Onsite childcare
- Onsite gym
- Paid time off
- Recognition programs
- Retirement plan
- Shuttle Service to Janelia
- Wellness programs
Skills/Tech-stack
3D image analysis | Ablation Studies | Analysis By Synthesis | AreTomo | CTF Correction | CryoET | Data Annotation | Deep learning | Differentiable Rendering | Differentiable simulation | GPU Computing | HPC clusters | High Performance | High-Performance Computing | IMOD | Image Segmentation | Image analysis | Inverse problems | JAX | LAMMPS | Linux | MRC | Machine Learning | Missing Wedge | Nerf | Neural radiance fields | Object Detection | Open Science | OpenMM | Particle Picking | Performance Computing | PyTorch | Python | Radiance Fields | Relion | Reproducibility | Sim2real | Subtomogram Averaging | Template matching | Tomographic reconstruction | Volumetric data | WARP | Zarr
Education
Roles
AI | AI Engineer | Engineer
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