606 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Swedish University of Agricultural Sciences
- SciLifeLab
- Chalmers University of Technology
- Umeå University
- Nature Careers
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Linnaeus University
- Örebro University
- Blekinge Institute of Technology
- Karlstad University
- Jönköping University
- University of Borås
- KTH
- ;
- Lund University
- Uppsala University
- WORLD MARITIME UNIVERSITY (WMU)
- 10 more »
- « less
-
Field
-
acclimate to a changing world and how we can breed better plants. About the position In this project you will develop and apply statistical and genetic models: Research-focused work on creating and using
-
and development of algorithms, methods, and theories aimed at better understanding the properties and underlying mechanisms within statistical and deep learning-based systems also in the presence
-
, scalability, resilience regarding platform architectures, and algorithm performance for AI/ML. The thematic areas addressed are the future smart energy solutions, connected/smart properties, which include
-
into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
-
around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
. The research work includes algorithm development for distributed processing, synchronization and resource allocation in distributed MIMO systems, with energy efficiency and sustainability in mind. This position
-
algorithms to detect complex structural variants in humans using long DNA sequencing reads. A structural variant (SV) is a large-scale alteration in the genome that involves rearranged, deleted, or inserted
-
the theory of optimization algorithms and high-dimensional statistics to address some of the most fundamental questions in ML such as the behavior of neural networks. The environment of this project is highly
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman