Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Sveriges lantbruksuniversitet
- Lunds universitet
- Chalmers University of Technology
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Karolinska Institutet, doctoral positions
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umeå University
- University of Lund
- Uppsala universitet
- 4 more »
- « less
-
Field
-
fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
-
, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I
-
teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy and all activities will be linked with National, European and worldwide R&D Projects. The research topic
-
proteomics Strong skills in quantitative proteomics data analysis using R, as well as knowledge in bioinformatics Solid understanding of mitochondrial functions and cellular metabolism Experience in cell
-
. The position might also involve teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy and all activities will be linked with National, European and worldwide R&D
-
processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
-
, for that reason you need to fullfill the following requirements: Have good understanding in hydrological and hydraulic processes with relevance for irrigation and drainage Have knowledge in programming in R and
-
. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
-
analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
-
analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques