Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- Luleå tekniska universitet
- Umeå University
- Lulea University of Technology
- University of Lund
- Uppsala universitet
- Linköping University
- Luleå University of Technology
- University of Borås
- 3 more »
- « less
-
Field
-
, and chromatin-based methods. Cellular metabolic phenotyping, including high-resolution respirometry, will be used to connect molecular mechanisms to changes in cellular metabolism. The successful
-
Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
-
we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
-
conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
. Project description Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost
-
,..) and other European companies and research institutions. The position offers excellent opportunities to conduct high-impact research, contribute to experimental demonstrators and standardization
-
of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing