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Position: Postdoctoral Associate - Artificial Intelligence
Institution: University of Florida
Location: Gainesville, Florida, United States
Duties: The postdoctoral research will work on a funded project designed to build deep-learning imaging analysis and informatics tools to improve understanding of type 1 diabetes progression. Research will involve design, implementation, and validation of image analysis pipeline to build deep learning models and graphical user interfaces using pancreas whole slide image (WSI) and magnetic resonance imaging (MRI) scans
Requirements: Applicants must have a Ph.D. in computer science, electrical and computer engineering, biomedical engineering, neuroscience, or a related biomedical/computational science area with appropriate experience
   
Text: Toggle navigation Careers at UF Login Postdoctoral Associate - Artificial Intelligence - Kim Lab Apply now Job no: 524304 Work type: Post Doc Associate Location: Orange Categories: Artificial Intelligence Department: 32020000 - PH-PHARMACEUTICS Classification Title: Postdoctoral Associate Job Description: A postdoctoral researcher position focused on applying artificial intelligence/machine learning to identifying biomarkers of disease progression in type 1 diabetes is available in the laboratory of Dr. Sarah Kim ( https://pharmacy.ufl.edu/profile/kim-sarah/ ), in collaboration with Dr. Martha L. Campbell-Thompson ( https://mctlab.pathology.ufl.edu/ ) and Dr. Damon G. Lamb ( https://psychiatry.ufl.edu/profile/lamb-damon/ ). This position is for an initial two-year appointment, and has the potential to be renewed for an additional year based on performance and funding availability. The postdoctoral research will work on a funded project designed to build deep-learning imaging analysis and informatics tools to improve understanding of type 1 diabetes progression. Research will involve design, implementation, and validation of image analysis pipeline to build deep learning models and graphical user interfaces using pancreas whole slide image (WSI) and magnetic resonance imaging (MRI) scans. University of Florida (UF)’s High Performance Computing and Big Data Analytics: This work will benefit from the enhanced research computing GPU infrastructure at UF afforded by the recent NVIDIA investment. UF’s High Performance Computer, HiPerGator, was ranked the 22nd most powerful and 2 nd most energy efficient in the world in 2021. UF’s AI initiative is providing a substantial investment in the development and application of novel methods to challenging problems, https://ai.ufl.edu/ . UF and Lake Nona Medical City: UF was ranked the #5 public university in 2021 by U.S. News & World Report in 2021. UF is a highly collaborative environment that provides researchers with many opportunities for learning and research collaborations. Lake Nona Medical City is a health and life sciences campus in Orlando, Florida, United States. It is located near Orlando International Airport and within the master-planned community of Lake Nona. Expected Salary: Commensurate with education and experience. Minimum Requirements: Applicants must have a Ph.D. in computer science, electrical and computer engineering, biomedical engineering, neuroscience, or a related biomedical/computational science area with appropriate experience. Preferred Qualifications: Applicants must have experience with manuscript preparation and submission. Experience with Python, MONAI/Pytorch, MATLAB, and R is particularly desirable. Special Instructions to Applicants: In order to be considered, applicants must upload your cover letter, resume, and list of professional references. Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ . The University of Florida is An Equal Employment Opportunity Institution. If an accommodation due to a disability is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law. Application must be submitted by 11:55 p.m. (ET) of the posting end date. AI@UF Health Assessment Required: No Advertised: 20 Oct 2022 Eastern Daylight Time Applications close: 21 Nov 2022 Eastern Standard Time Back to search results Apply now Refer a friend Share this: | More Search results Position Department Location Closes Postdoctoral Associate - Artificial Intelligence - Kim Lab 32020000 - PH-PHARMACEUTICS Orange 21 Nov 2022 A postdoctoral researcher position focused on applying artificial intelligence/machine learning to identifying biomarkers of disease progression in type 1 diabetes is available in the laboratory of Dr. Sarah Kim (https://pharmacy.ufl.edu/profile/kim-sarah/), in collaboration with Dr. Martha L. Campbell-Thompson (https://mctlab.pathology.ufl.edu/) and Dr. Damon G. Lamb (https://psychiatry.ufl.edu/profile/lamb-damon/). This position is for an initial two-year appointment, and has the potential to be renewed for an additional year based on performance and funding availability. The postdoctoral research will work on a funded project designed to build deep-learning imaging analysis and informatics tools to improve understanding of type 1 diabetes progression. Research will involve design, implementation, and validation of image analysis pipeline to build deep learning models and graphical user interfaces using pancreas whole slide image (WSI) and magnetic resonance imaging (MRI) scans. Campaigns Loading... Current Opportunities Position Department Location Closes Postdoctoral Associate - Artificial Intelligence - Kim Lab 32020000 - PH-PHARMACEUTICS Orange 21 Nov 2022 A postdoctoral researcher position focused on applying artificial intelligence/machine learning to identifying biomarkers of disease progression in type 1 diabetes is available in the laboratory of Dr. Sarah Kim (https://pharmacy.ufl.edu/profile/kim-sarah/), in collaboration with Dr. Martha L. Campbell-Thompson (https://mctlab.pathology.ufl.edu/) and Dr. Damon G. Lamb (https://psychiatry.ufl.edu/profile/lamb-damon/). This position is for an initial two-year appointment, and has the potential to be renewed for an additional year based on performance and funding availability. The postdoctoral research will work on a funded project designed to build deep-learning imaging analysis and informatics tools to improve understanding of type 1 diabetes progression. Research will involve design, implementation, and validation of image analysis pipeline to build deep learning models and graphical user interfaces using pancreas whole slide image (WSI) and magnetic resonance imaging (MRI) scans. 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