Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- George Washington University
- Texas A&M University
- Oak Ridge National Laboratory
- EPFL
- University of New South Wales
- CNRS
- Chalmers University of Technology
- Sandia National Laboratories
- Technical University of Munich
- Texas A&M AgriLife
- Texas A&m Engineering
- University of Liverpool
- University of Oxford
- Warsaw University of Technology
- Wroclaw University of Science and Technology
- 5 more »
- « less
-
Field
-
) is a generalization of the standard QBF that allows them to succinctly encode many hard problems arising in hardware verification, circuit design and software synthesis. The main goal of this project
-
machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
-
Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
-
-throughput phenotyping at ORNL's Advanced Plant Phenotyping Laboratory (APPL) with paired geochemical and microbial measurements. Utilize laboratory equipment and software that may include a Picarro gas
-
collection and analysis of data, particularly utilizing Qualtrics and or RedCap survey software/programming and statistical packages, and keeping the detailed data secure and recorded Assists research team in
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science & engineering, physics, chemistry, or a
-
scientists, software engineers, data managers, and collaborators across the Mahidol Oxford Tropical Medicine Research Unit, and the wider Tropical Network Programme. Wet lab work will not be involved in
-
, No UMO-2020/39/I/NZ5/03104, Dissecting cancer activome to develop new generation of antibody-drug conjugates, PI: PhD. Eng. DSc. Marcin Poręba, professor at WUST Type of position: research assistant
-
Experience Appropriate PhD in a related field. Preferred Qualifications Experience in Higher Education Experience with molecular biology, protein biochemistry, mammalian cell culture, cell-based assay
-
: Appropriate PhD in a related field. Preferred Qualifications: Experience with animal husbandry and special housing. In vitro electrophysiology techniques such as patch clamping and brain slice preparation. In