Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- The Ohio State University
- AALTO UNIVERSITY
- Aalto University
- ETH Zürich
- Michigan State University
- University of Vienna
- Yale University
- ARCNL
- Boise State University
- Cornell University
- Delft University of Technology (TU Delft)
- Institute of Chemical Research of Catalonia ICIQ
- Nanyang Technological University L J Wong Group
- OSU
- Raven51 AG (BAM)
- TTI
- Technical University of Denmark
- Texas A&M University System
- University of Amsterdam (UvA)
- University of California
- University of Central Florida
- University of South Carolina
- University of Texas at Austin
- University of Twente
- Universität Wien
- Washington State University
- 16 more »
- « less
-
Field
-
., Python) • Support ongoing research projects related to Great Lakes hydrology and regional water systems • Collaborate with PhD students and research staff to integrate data-driven insights into
-
mechanics of fragility in collagen, the mechanics of earthquakes, fracture of soft materials, and modeling failure in multiphysical processes such as corrosion-driven degradation of concrete. What unites
-
research in the computational and theoretical modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and
-
to understand how materials deform, degrade, break, and ultimately fail. Our research is driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this
-
activities and data-driven predictive modeling for precision medicine. In addition to our core research questions and mission, the unit will also serve as a nexus between multiple branches and divisions and
-
. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and
-
The Ohio State University | about 2 months ago
analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet
-
The Ohio State University | about 2 months ago
skills using modern languages such as Python or C++. Expertise in statistical analysis, machine learning, and data-driven modeling is highly desirable. Appointment is contingent on the university’s
-
projects on advanced finite element (FE) modeling, structural damage evolution, and data-driven analysis of large-scale engineering systems. Responsibilities and qualifications As a Research Assistant, you
-
materials characterization Strong background in computational materials science and machine learning applications Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro