Sort by
Refine Your Search
-
Country
-
Employer
- SciLifeLab
- CNRS
- ; Durham University
- Chalmers University of Technology
- ETH Zurich
- Fondation Artanim
- GIGA Institute-ULiège
- Lulea University of Technology
- Luleå University of Technology
- Nord University
- Radboud University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 3 more »
- « less
-
Field
-
impacts. The research will be quantitative and based on multiple data sources including field experiments and agricultural statistics. The PhD student will use and develop biophysical models of nutrient
-
[4]. The total cross sections can be mapped to the statistics of the extreme values of this process [4]. The genealogies of extreme particles [5], the detailed study of which is the subject of this
-
participation in fieldwork Processing samples for next-generation sequencing, metabarcoding, analysis of trophic morphology, and analysis of growth trajectories Bioinformatic and statistical analyses Writing
-
analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical
-
education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
-
statistical, database management and scripting programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution
-
, biological anthropology or neuroscience. Knowledge in imaging techniques, statistics and comparative anatomy, as well as a strong interest in research questions related to evolutionary mechanisms and human
-
in MRI imaging is also appreciated. * Good statistical skills are requested and pre-exposure (or better) to scripting Matlab, R and/or Python is appreciated. * Mastery of English is a requirement
-
sources including field experiments and agricultural statistics. The PhD student will use and develop biophysical models of nutrient flows in agri-food systems, from farm to fork, to assess how different
-
, Neuroscience, Cognitive Sciences, or related fields. Desired: Experience developing computer graphics or virtual reality experiences. At ease with topics such as behavioural psychology, statistical analysis