Sort by
Refine Your Search
-
Category
-
Employer
- Nature Careers
- Umeå University
- Chalmers University of Technology
- University of Lund
- Linnaeus University
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- Mälardalen University
- Blekinge Institute of Technology
- European Magnetism Association EMA
- Jönköping University
- Karlstad University
- 3 more »
- « less
-
Field
-
, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
-
survival, treatment response, and relapse, Define tumor microenvironment signatures with potential to predict therapy outcomes Analysis of omics data to identify relevant downstream targets, Establishing and
-
modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
-
Join a young team with a strong national and international network in the field of the rapidly expanding area of metal additive manufacturing at Chalmers University of Technology ! This postdoc
-
Water. You will be expected to participate actively in the department’s knowledge environment and networks, both internally and externally. This includes conducting and disseminating research, as
-
relevant duties/assignments within the subject area. Other merits The scientific work is conducted within the research group as well as in association with a larger collaborative scientific network, and good
-
, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
-
networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
-
? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
-
pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network