Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- University of Sheffield
- AALTO UNIVERSITY
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Indiana University
- King's College London
- Loyola University
- Monash University
- Nantes Université
- Nanyang Technological University
- SGH Warsaw School of Economics
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SYDNEY
- Universite de Montpellier
- University of Algarve
- University of Twente (UT)
- Università degli Studi di Roma Tor Vergata - Dipartimento di Fisica
- Uppsala universitet
- Zintellect
- 10 more »
- « less
-
Field
-
area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
-
Gaussian processes with learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working
-
Gaussian processes), c. multilinear forms of random variables (including Gaussian chaoses). 4. Authorship of at least one scientific publication (monograph or article) other than the doctoral dissertation. 5
-
. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
-
. For admission and curricular evaluation purposes, proven skills in programming, preferably Python and/or C++; computer vision; computer graphics; real-time 3D rendering; 3D Gaussian Splatting, Mip-Splatting, LOD
-
of physical processes. This includes rare, extreme, and non-Gaussian events, as well as other out-of-equilibrium properties on multiple scales. In the long term, the project will be distinguished by
-
, Bayesian inference, model calibration, and Markov Chain Monte Carlo methods, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence
-
on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages
-
find a suitable candidate, we will arrange an interview. We therefore recommend applying at your earliest convenience. Screening is part of the selection process. Website for additional job details https
-
mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we