92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Lunds universitet
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Uppsala universitet
- Karolinska Institutet (KI)
- Umeå University
- SciLifeLab
- Umeå universitet stipendiemodul
- University of Lund
- Chalmers tekniska högskola
- Nature Careers
- Umeå universitet
- KTH
- Linköpings universitet
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Borås
- chalmers tekniska högskola
- Örebro University
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Linköping University
- Linköping university
- Linköpings University
- NORDITA-Nordic Institute for Theoretical Physics
- SLU
- Sveriges Lantrbruksuniversitet
- 17 more »
- « less
-
Field
-
systems. Combination of behavior with large-scale neural recordings using silicon probes, miniscope, or 2P imaging. Ability to explore and analyze large datasets using modern machine learning methods and a
-
materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
-
disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile Injection Systems (CIS) — natural protein machines used by bacteria to deliver
-
society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read here
-
. Documented knowledge and experience in computational metabolomics, computational biostatistics, statistical and machine learning, involving analysis of biological multi-modal and multivariate data, or related
-
/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
-
manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious
-
that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
-
scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently
-
will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning