48 parallel-computing-numerical-methods Fellowship research jobs at Indiana University
Sort by
Refine Your Search
-
molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
-
Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in Bio-Photonics and
-
trial access. This fellowship is designed to support the development of an early-career nurse scientist pursuing an independent program of research focused on health equity, health disparities, ethics
-
of Medicine Indianapolis Position Summary The Teen Program Of Weight and Eating Research (Teen POWER) at the Indiana University School of Medicine is seeking qualified candidates for a research-focused
-
to address fundamental challenges in synthetic chemistry and biocatalysis. The successful applicant will use a deep understanding of organic and organometallic chemistry, combined with state-of-the-art methods
-
epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
-
standard molecular cloning methods · Mammalian Cell culture · Genome editing · Fluorescence Microscopy · Teamwork skill · Proficiency in written and oral communication Department Contact for Questions
-
: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines