Post Doctoral Fellow at InsideHigherEd

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission. At Howard University, we prioritize well-being and professional growth. Here is what we offer: Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health supportWork-Life Balance: PTO, paid holidays, flexible work arrangementsFinancial Wellness: Competitive salary, 403(b) with company match Professional Development: Ongoing training, tuition reimbursement, and career advancement pathsAdditional Perks: Wellness programs, commuter benefits, and a vibrant company culture Join Howard University and thrive with us! https://hr.howard.edu/benefits-wellnessJOB PURPOSE: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. He/she will report progress to the PI on experiments and data 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 MRIDevelopment of deep learning models for image processingProficiency in programming languages such as Python or MATLABExperience 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 methodsExcellent analytical and problem-solving skills.Ability to work collaboratively in a multidisciplinary research environment.Compliance Salary Range Disclosure