Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Swedish University of Agricultural Sciences
- Umeå University
- Chalmers University of Technology
- SciLifeLab
- Nature Careers
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Lunds universitet
- Karlstad University
- Karolinska Institutet (KI)
- Linnaeus University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Jönköping University
- University of Borås
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Luleå University of Technology
- University of Gothenburg
- Örebro University
- KTH
- Karlstads universitet
- Umeå universitet stipendiemodul
- ;
- Lund university
- Malmö universitet
- Stockholms universitet
- Umeå universitet
- 20 more »
- « less
-
Field
-
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
-
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
-
, 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
-
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
-
the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
-
these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
-
and empirically oriented, focusing on how political ideas, actors, and conflicts are shaped and mediated through digital platforms. Central themes may include, for example, algorithmic influence
-
nationalities, backgrounds and fields. As a postdoctoral researcher, you receive benefits in career development, networking, administrative and technical support functions, along with good employment conditions
-
with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
-
to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this position, you will be working as part of a