Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Nature Careers
- Sveriges lantbruksuniversitet
- University of Lund
- Jönköping University
- Uppsala universitet
- 3 more »
- « less
-
Field
-
logical coherence in the formulation of the aim and the research questions stringency of legal reasoning and analysis adequate selection of methods and theory capacity for creativity and innovation in
-
of Chemistry and Biomedical Science, one of five departments within the Faculty of Health and Life Sciences. Our department plays a pivotal role in shaping BSc programs in biology, biomedical analysis, health
-
cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods
-
. 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
-
. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
-
at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included
-
aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
-
and documented background in machine learning, deep learning, data analysis and programming. Previous experience in research and knowledge in bioinformatics, biophysics, biochemistry, molecular biology
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm