-
that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
-
Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
-
/30929265/ ). This MIP Postdoctoral Scholars program has significant resources to promote professional development, skill-based workshops, and community networking events. The program also provides
-
one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
-
communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
-
. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
-
leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
-
to mentoring the next generation of scientists, and ample opportunities are available to refine 'soft skills' during the training period (e.g., grant writing, scientific presentations, networking). Mission
-
Center and a member of the National Comprehensive Cancer Network (NCCN). We are among the top-ranked national programs in research and patient care with members holding $120M in annual direct research