Sort by
Refine Your Search
-
Listed
-
Employer
- Johns Hopkins University
- Nature Careers
- University of Michigan
- Zintellect
- City of Hope
- Harvard University
- AbbVie
- Barnard College
- Dana-Farber Cancer Institute
- Indiana University
- Texas Christian University
- University of California, San Francisco
- University of Colorado
- University of Michigan - Ann Arbor
- University of South Carolina
- University of Texas at Austin
- 6 more »
- « less
-
Field
-
datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies. The research group is supported by multiple NIH-funded projects, including studies of comparative genomics
-
, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
-
film samples. - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combined these properties into a hybrid metrology digital wafer
-
properties of thin film samples - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combine these properties into a hybrid metrology digital wafer - Perform
-
intensity ratios. This research project will explore several novel and high-risk techniques for realizing a primary temperature sensor in a compact package. This will require operating an locking multiple
-
methods § Skilled in modeling electro-optical nano-systems to predict properties and fluid dynamics. § Highly skilled in multiple scripting languages, including MATLAB, Python, Optiwave (FDTD), COMSOL
-
experiments across multiple U.S. states to evaluate the long-term effects of conservation practices. Evaluating and improving mechanisms embedded in existing crop models to better reflect the interactions among
-
international conferences. Required Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance
-
Python, Java or Matlab. - Excellent communication skills and ability to work effectively in a team. Desirable Qualifications: - Experience with flip-chip fusion and/or hybrid bonding processes - Experience
-
Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with