What are the responsibilities and job description for the Postdoctoral Appointee - Multimodal Deep Learning for Biomedical Imaging position at UChicago Argonne, LLC?
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
PostdoctoralJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeThe 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.
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Salary : $70,758 - $110,380
