Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Karolinska Institutet (KI)
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Nature Careers
- Uppsala universitet
- Mälardalen University
- Sveriges lantbruksuniversitet
- ; Mälardalen University
- KTH Royal Institute of Technology
- Linköpings universitet
- Luleå University of Technology
- Umeå University
- University of Skövde
- 8 more »
- « less
-
Field
-
and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
-
scientists. The Engblom lab works as a team and is dedicated to fostering the next generation of scientists, so we welcome candidates who are interested to teach and mentor budding scientists. Requirements PhD
-
PhD in electrical engineering (or related field), with specialization in radio localization, radar, sensing, signal processing, or machine learning Have completed your PhD no more than three years
-
statistical learning We seek a creative, independent, and collaborative researcher with enthusiasm for interdisciplinary research. Application Instructions Submit your application, written in Swedish or English
-
Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
-
Physics Division that hosts the Langhammer Group provides further relevant information. Who we are looking for We seek candidates with the following qualifications: A PhD degree in physics. An experimental
-
The Department of Zoology is one of the departments within the Faculty of Science and has approximately 80 employees including researchers, PhD students, and administrative staff. Research and
-
sequencing, and with computer scientists at KTH in Stockholm, focused on developing scalable probabilistic machine learning techniques for online phylogenomic analysis and placement of DNA barcodes. You will
-
. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
-
To fully benefit from automated vehicles (AVs), they must be both safe and appreciated by drivers. This post-doc is to use modeling (e.g., AI/machine learning) and behavior data to predict perceived