Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Linköping University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Umeå University
- Sveriges Lantbruksuniversitet
- Lulea University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Karolinska Institutet, doctoral positions
- Umeå universitet
- SciLifeLab
- Örebro University
- Luleå University of Technology
- Luleå university of technology
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Linköpings universitet
- Luleå tekniska universitet
- Mälardalen University
- Stockholm University
- Umea University
- University of Gothenburg
- University of Lund
- Department of Forest Genetics and Plant Physiology
- Göteborgs Universitet
- Högskolan Väst
- KTH
- Karlstads universitet
- LInköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lule university of technology
- SLU
- Stockholms universitet
- Swedish University of Agricultural Science
- University of Borås
- University of Skövde
- 30 more »
- « less
-
Field
-
application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
-
cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Runtime Security Assurance. Once trained, AI models can be
-
a PhD student, you will explore: how firms use specialized AI to strengthen their competitive position how new offerings and business models emerge how value creation and collaboration in ecosystems
-
and tectonic significance of these inferred basement structures remain insufficiently constrained. The overall objective of this PhD project is to test and refine existing structural models by
-
structures remain insufficiently constrained. The overall objective of this PhD project is to test and refine existing structural models by explicitly incorporating the Archaean basement into a time
-
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
-
We are seeking a PhD candidate to join our team in the development of next-generation bioelectronic platforms to study implant interfaces and modulation of the brain tissue microenvironment
-
cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Runtime Security Assurance. Once trained, AI models can be
-
and virtually. In doing so the traditional energy-supply business models will also evolve, as these plants will be able to stack additional revenues from their flexibility and capacity to perform sector
-
scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on