Sort by
Refine Your Search
-
Country
-
Employer
- University of Oslo
- Harvard University
- Northeastern University
- Johns Hopkins University
- Cornell University
- FEUP
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NORCE Norwegian Research Centre
- Nanyang Technological University
- National Laboratory of Energy and Geology
- Queen's University
- University of Basel
- University of Michigan
- University of South-Eastern Norway
- Zintellect
- 5 more »
- « less
-
Field
-
. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
-
Hospital Basel (UKBB), and the Swiss Tropical and Public Health Institute (Swiss TPH). A strong interest in applying mathematical modelling to biological questions and excellent teamwork and communication
-
selection and optimization Evidence of scientific engagement and emerging thought leadership in Quantitative Clinical Pharmacology and Pharmacometrics. Quantitative Systems Pharmacology (QSP) Candidate PhD in
-
School of Physical and Mathematical Sciences (SPMS) is a young and dynamic school dedicated to providing top-notch physics-based education and conducting world class research. For more details
-
application of modeling and simulation (M&S) strategies to support: PK/PD analyses, Exposure–response characterization, Dose selection and optimization Evidence of scientific engagement and emerging thought
-
. The successful candidate will contribute to the development, optimization, and scale-up of advanced pretreatment solutions for seawater desalination. The selected candidate will join a dynamic, collaborative, and
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) with a strong desire to make an impact on energy/power grids are preferred
-
: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
-
includes optimizing photonic enhancement techniques for improving the optical scattering of single impurity particles. In this regard, surface engineering methods, theoretical modeling and optical microscopy