Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- University of Lund
- Uppsala universitet
- Lunds universitet
- Stockholms universitet
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- SciLifeLab
- Jönköping University
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- Karlstad University
- Luleå University of Technology
- Mälardalen University
- KTH Royal Institute of Technology
- Karlstads universitet
- LInköpings universitet
- Lule university of technology
- Luleå
- Stockholm University
- 18 more »
- « less
-
Field
-
alternative ways of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test
-
methods that reduce compute, energy usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com
-
reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments imply merging state-of-the-art deep-learning approaches with physical knowledge
-
equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
-
application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
-
transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
-
to continuation as a researcher at Ericsson Research. Practical work tasks include: Developing algorithms and models for dynamic spectrum sharing using RDT data Implementing and evaluating signal processing and
-
and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
-
position within a Research Infrastructure? No Offer Description Description of the workplace Within the Centre for Analysis and Synthesis (https://www.cas.lu.se/ ) at the Department of Chemistry, we conduct