Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging

The Advanced Photon Source (APS) at Argonne National Laboratory invites applications for a postdoctoral position focused on developing novel computational approaches for multi-modal biomedical image analysis. This position will support a project investigating low-dose radiation effects on tissue vascularization through advanced imaging techniques.

The postdoctoral appointee will be responsible for developing new computational tools and AI/ML approaches to analyze and correlate data from multiple imaging modalities, including synchrotron tomography, x-ray fluorescence microscopy, visible light microscopy, and spatial transcriptomics. Key responsibilities include:

• Developing AI/ML methods for image alignment across modalities

• Automated feature detection

• Predictive modeling of vascularization patterns

The successful candidate will be part of a multi-institutional, cross-disciplinary team including researchers from multiple groups at the APS and at Northwestern University. They will have access to state-of-the-art imaging facilities at the APS and top-20 supercomputing resources at Argonne National Laboratory.

Position Requirements

• This level of knowledge is typically achieved through a formal education in a relevant field at the PhD level with zero to five years of employment experience.

• Experience with deep learning frameworks (PyTorch, TensorFlow, JAX).

• Strong background in computational image processing and computer vision.

• Experience with multi-modal data fusion and alignment techniques.

• Experience with spatial transcriptomics or other -omics data analysis.

• Proficiency in Python programming and scientific computing libraries.

• Knowledge of biomedical image analysis and 3D reconstruction techniques.

• Familiarity with x-ray imaging techniques and synchrotron data analysis.

• Knowledge of version control (Git) and software development practices.

• Experience with uncertainty quantification and statistical analysis

• Skill in written and oral communications.

• Experience interacting with scientific staff and research groups.

• Ability to work effectively as a member of a team and effectively communicate with people of different backgrounds and skill sets.

• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $70,758.00 - $110,379.55.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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