Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Linköping University
- Uppsala universitet
- SciLifeLab
- Umeå University
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Linköpings universitet
- University of Lund
- Blekinge Institute of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- KTH
- Nature Careers
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Borås
- chalmers tekniska högskola
- Jönköping University
- Karlstads universitet
- Kungliga Tekniska högskolan
- Luleå University of Technology
- Örebro University
- Chalmers tekniska högskola AB
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linkopings universitet
- Linköping university
- Linköpings University
- Lulea University of Technology
- Luleå tekniska universitet
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- SLU
- Sveriges Lantrbruksuniversitet
- The University of Gothenburg
- University of Skövde
- 31 more »
- « less
-
Field
-
strategies: Leveraging traditional and causal machine learning approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting
-
science. You will be part of a dynamic research group with expertise in Earth Observation, geoinformatics, and machine learning, offering an excellent environment for advancing your research and building
-
Technology We invite applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp to work on the reliability and trustworthiness of machine learning models. You will work
-
and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
-
: Analyze spectroscopic and kinetic data, employ statistical and machine learning approaches where relevant, and contribute to manuscripts, presentations, and reports. Collaboration: Work closely with project
-
++, Fortran) Background in mechanics of materials or computational modelling Experience with machine learning for physical fields/PDEs/GNNs and HPC workflows Interest in interdisciplinary collaboration and
-
automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
-
employed at Lund University, Work with u s. Work duties In the role as Project Assistant you will use machine learning and other advanced statistical techniques to develop precision prediction models using
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
-
this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure, teachers must have the personal qualities