Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Umeå University
- University of Lund
- Lunds universitet
- SciLifeLab
- Uppsala universitet
- Chalmers tekniska högskola
- Linköpings universitet
- Luleå University of Technology
- Umeå universitet
- Örebro University
- Blekinge Institute of Technology
- KTH
- Lulea University of Technology
- University of Borås
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Karolinska Institutet (KI)
- Linkopings universitet
- Linköpings University
- Malmö universitet
- Stockholms universitet
- 13 more »
- « less
-
Field
-
writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM, use imitation learning algorithms to learn pick
-
properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
-
apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
-
, or equivalent, with excellent knowledge of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms
-
on Bayesian methods for real-time, risk-aware trajectory planning in autonomous driving. Develop, implement, and evaluate algorithms for scenario pruning, control action selection, and reachability analysis
-
, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms
-
questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
-
, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems. Project description This PhD project is linked
-
an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
-
Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg | Sweden | 2 months ago
mechanisms in normal neural development (demonstrated by us and colleagues) and may harbor cues for novel treatment strategies. Omics data can be used in black box machine learning algorithms to classify or