Inside Higher Ed
Overview
We are seeking a motivated and highly skilled research fellow to join our research team focusing on advanced magnetic resonance imaging (MRI) methods to study tumor energy metabolism and develop machine learning models for image enhancement. The successful candidate will play a pivotal role in addressing cutting-edge challenges in metabolic imaging, machine learning, and model validation. Nature And Scope
This staffing request is made for a postdoc (or research associate) to assist in pilot preclinical cancer imaging project under the Howard-Hopkins Comprehensive Alliance in Cancer Research, Education and Equity (H2CAREE) U54 program. The successful applicant will have strong knowledge and research background in MRI/MRS, and experience in programming languages (MATLAB, Python, R), and expertise in imaging processing and analysis. The PIs for this project are Kofi Deh (College of Arts & Sciences) and Tsang-Wei Tu (Howard University Hospital). Principal Accountabilities
Perform MRS/MRI for energy metabolism research in mouse model of prostate cancer. Develop models for CEST MRI simulation, post-processing and data analysis. Collaborate with optical imaging and histology teams to validate imaging results. Core Competencies
Experience with advanced MRI techniques, particularly CEST MRI Development of deep learning models for image processing Proficiency in programming languages such as Python or MATLAB Experience with the application of computational fluid dynamics to organ perfusion modeling is a plus. Minimum Requirements
Ph.D. in Biomedical Engineering, Physics, Chemistry, Computer Science, or a related field. Familiarity with metabolic imaging, CEST MRI, perfusion modeling, optical imaging or other validation methods Excellent analytical and problem-solving skills. Ability to work collaboratively in a multidisciplinary research environment. Compliance Salary Range Disclosure
Salary ranges are provided as part of the job listing. Seniority level
Internship Employment type
Part-time Job function
Research, Analyst, and Information Technology Industries
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We are seeking a motivated and highly skilled research fellow to join our research team focusing on advanced magnetic resonance imaging (MRI) methods to study tumor energy metabolism and develop machine learning models for image enhancement. The successful candidate will play a pivotal role in addressing cutting-edge challenges in metabolic imaging, machine learning, and model validation. Nature And Scope
This staffing request is made for a postdoc (or research associate) to assist in pilot preclinical cancer imaging project under the Howard-Hopkins Comprehensive Alliance in Cancer Research, Education and Equity (H2CAREE) U54 program. The successful applicant will have strong knowledge and research background in MRI/MRS, and experience in programming languages (MATLAB, Python, R), and expertise in imaging processing and analysis. The PIs for this project are Kofi Deh (College of Arts & Sciences) and Tsang-Wei Tu (Howard University Hospital). Principal Accountabilities
Perform MRS/MRI for energy metabolism research in mouse model of prostate cancer. Develop models for CEST MRI simulation, post-processing and data analysis. Collaborate with optical imaging and histology teams to validate imaging results. Core Competencies
Experience with advanced MRI techniques, particularly CEST MRI Development of deep learning models for image processing Proficiency in programming languages such as Python or MATLAB Experience with the application of computational fluid dynamics to organ perfusion modeling is a plus. Minimum Requirements
Ph.D. in Biomedical Engineering, Physics, Chemistry, Computer Science, or a related field. Familiarity with metabolic imaging, CEST MRI, perfusion modeling, optical imaging or other validation methods Excellent analytical and problem-solving skills. Ability to work collaboratively in a multidisciplinary research environment. Compliance Salary Range Disclosure
Salary ranges are provided as part of the job listing. Seniority level
Internship Employment type
Part-time Job function
Research, Analyst, and Information Technology Industries
Online Audio and Video Media
#J-18808-Ljbffr