177 machine-learning "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Uppsala universitet
- Lunds universitet
- Stockholms universitet
- University of Lund
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- SciLifeLab
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- Karlstads universitet
- LInköpings universitet
- Lule university of technology
- Luleå
- Stockholm University
- 18 more »
- « less
-
Field
-
transcripts, details of referees, letters of recommendation, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:907263/type:job/where:39/apply:1 Requirements Additional
-
the instructions in the job advertisement, and that it is submitted before the deadline. The instructions for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en
-
https://su.varbi.com/en/what:job/jobID:911988/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldChemistryYears of Research
-
) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks
-
Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
-
to machine learning is well funded and continuously publishes in high impact journals. We foster a creative working environment, where you will find freedom to implement, develop, and publish research
-
transcripts, details of referees, letters of recommendation, etc.)” We look forward to receiving your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910848/type:job/where:39/apply:1
-
value chains to enable AI-based applications, using methods and models from e.g. operations research, data analytics or artificial intelligence/machine learning. Identify, structure and prioritise
-
Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
-
and administrative staff. For more information about the department visit: www.slu.se/aquatic-sciences Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu