Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Linköping University
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- University of Lund
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Lulea University of Technology
- Nature Careers
- Lunds universitet
- Umeå universitet
- KTH Royal Institute of Technology
- Linnaeus University
- Mid Sweden University
- Mälardalen University
- Stockholms universitet
- 7 more »
- « less
-
Field
-
bioinformatics Background in immunology and protein biochemistry For personal traits, we are looking for a ambitious and motivated candidate, with a strong drive to develop expertise and reach research goals. You
-
to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
-
the entire industrial process — from identifying needs to delivering the final product — while generating added value. The department stands out both nationally and internationally through its ability
-
Experience in structural and quantitative proteomics Prior experience in analyzing proteomics data and knowledge in bioinformatics Background in immunology and protein biochemistry For personal traits, we
-
140 PhD students at CSE. Your main supervisor will be Prof. Nir Piterman, with support from a co-supervisor and an examiner. Supervision is structured to guide your academic development, with regular
-
more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40
-
emphasis on bioinformatic and evolutionary analysis. Qualification requirements In order to be admitted to postgraduate education, the applicant must have the general and specific entry requirements
-
the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
-
the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
-
high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop