Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- University of Oxford
- ;
- Argonne
- Durham University
- European Space Agency
- ICN2
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Rochester Institute of Technology
- The Hebrew University of Jerusalem
- University College Cork
- University of Duisburg-Essen
- University of London
- University of Lund
- University of Paderborn
- University of Waterloo
- 9 more »
- « less
-
Field
-
Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research
-
project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
-
learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
-
Engineering nuclear envelope geometries to probe lipid chemistry-function relationships Romanauska & Köhler, Nature Cell Biol. 2023 What We Offer Two fully funded, full-time postdoctoral positions Possibility
-
motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
-
of transferred layers will be characterized by Raman. In a second step, the candidate will participate in the optimization of the device parameters (electrode material, geometry, dielectric...) Requirements: PhD
-
control. Creating generalizable tools for various battery types, geometries, and chemistries. The scope of methods and applications will be tailored in collaboration with the selected candidate. The work
-
and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
-
control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
-
are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January