Postdoc on Artificial Intelligence and Machine Learning in Biomedicine (Columbia University)
Postdoc on Artificial Intelligence and Machine Learning in Biomedicine (Columbia University)
Description
Postdoc on Artificial Intelligence and Machine Learning in Biomedicine (Columbia University)
The Laboratory of AI & Biomedicine Science (LABS) at the Radiology Department at Columbia University has multiple open postdoctoral positions. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to “big data” in multi-omics and medical data for aging and diseases, such as Alzheimer’s disease and aging. We emphasize utilizing advanced AI/ML techniques and multi-omics data, including MRI, genetics, and proteomics, to solve clinically relevant problems for precision medicine. All relevant directions can be pursued based on discussions, interests, and expertise.
Postdoctoral Position Qualifications:
We are seeking highly motivated individuals with excellent academic track records and related expertise:
lPh.D. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Computational Neuroscience;
lCandidate should have a working knowledge of programming, including Linux, Python, and R;
lCandidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged;
lExcellent communication and writing skills are required;
lUnderrepresented individuals/students are encouraged to apply.
Successful applicants will join a vibrant research environment and work closely with computational scientists and clinical investigators at Columbia Medical School and Engineering School, the New York Genome Center (NYGC), and our national & international collaborators.
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