Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- SciLifeLab
- Uppsala universitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Lulea University of Technology
- Lunds universitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 7 more »
- « less
-
Field
-
acquire the doctoral education. Good English communication, including an ability to clearly disseminate research findings orally and in writing, are essential. Additional qualifications Selection will be
-
the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
-
for latent variables and their connections to modern machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates
-
systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
-
willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity, initiative, reliability, organisational ability and willingness to collaborate, will be important in the selection
-
machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
-
the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
-
, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a
-
perform both empirical and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in
-
with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning