Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging

Argonne National Laboratory; Lemont (IL); On-site; USD 70,000 - 111,000; Full time

Job summary

An innovative research facility is seeking a Postdoctoral Appointee to advance multimodal deep learning techniques for biomedical imaging. This role involves developing cutting-edge computational tools to analyze complex imaging data, focusing on low-dose radiation effects on tissue vascularization. The successful candidate will collaborate with a diverse team, utilizing state-of-the-art imaging facilities and supercomputing resources. If you are passionate about pushing the boundaries of biomedical research and have a strong background in AI/ML and image processing, this is an exciting opportunity to make a significant impact in the field.

Qualifications

• PhD level education with zero to five years of experience.
• Experience with deep learning frameworks and computational image processing.
• Strong background in multi-modal data fusion and image analysis.

Responsibilities

• Develop AI/ML methods for image alignment across modalities.
• Automated feature detection and predictive modeling of vascularization patterns.
• Work as part of a multi-institutional, cross-disciplinary team.

Skills

Deep Learning Frameworks (PyTorch, TensorFlow, JAX)

Computational Image Processing

Computer Vision

Multi-modal Data Fusion

Python Programming

Statistical Analysis

Uncertainty Quantification

Effective Communication

Education

PhD in a Relevant Field

Tools

Git

Job description

Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging

Join to apply for the Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging role at Argonne National Laboratory

Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging

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Join to apply for the Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging role at Argonne National Laboratory

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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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Research Services

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