Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Uppsala universitet
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Lunds universitet
- Mid Sweden University
- University of Lund
- Blekinge Institute of Technology
- Chalmers University of Technology
- Jönköping University
- Karlstad University
- Karolinska Institutet, doctoral positions
- Luleå university of technology
- Nature Careers
- Umeå universitet
- 7 more »
- « less
-
Field
-
are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
-
statistics Description: We are looking for a dedicated and goal-oriented PhD student who wants to contribute to the development of methods for estimating the current status and trends of plant populations
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological
-
and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly publish solid contributions at the best machine learning conferences. STIMA is
-
transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
-
, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
-
Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features