Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Linköping University
- Nature Careers
- University of Lund
- Linnaeus University
- Mälardalen University
- Sveriges lantbruksuniversitet
- Jönköping University
- Mid Sweden University
- Uppsala universitet
- 4 more »
- « less
-
Field
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
-
format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
-
applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
-
a focus on topological data analysis, to a wide range of application driven questions. A primary interest is developing reliable methods based on rigid mathematical foundations targeting visualization
-
. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
-
) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
-
for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
-
qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN
-
Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses