14 Statistics "University of Minnesota" scholarships at Norwegian University of Life Sciences (NMBU)
-
, proteomics, gut microbiome analyses, and/or other nutrigenomic tools). Process and perform statistical and bioinformatic analysis of data. To generate scientific communication and publications. The successful
-
). Process and perform statistical and bioinformatic analysis of data. To generate scientific communication and publications. The successful candidate is expected to have a PhD education plan approved by
-
from mice. Treatment of data from different analyses related to the experiments (statistics, programming, interpretation of microbiota data from e.g. 16S rRNA gene sequencing) The successful candidate is
-
or retain water. Our Faculty is involved in developing knowledge in this subject via domestic and international collaborative projects, using experimental data collection, statistical learning and numerical
-
analyses related to the experiments (statistics, programming, interpretation of microbiota data from e.g. 16S rRNA gene sequencing) The successful candidate is expected to engage into a progress plan for a
-
in statistical physics and electrodynamics Strong skills in mathematics and analytical derivations Programming skills Experience with numerical computations. Knowledge of physical chemistry, soft
-
of evapotranspiration using remotely sensed data and climate data. Statistical- and scenario analyses addressing impacts of treeline expansion on runoff. Write and publish scientific papers. The successful candidate is
-
treatment technologies for aquaculture sludge and wastewater Advanced statistical analysis and other data sciences techniques for the handling of the collected data Perform high-quality scientific research
-
with DNA metabarcoding, soil/dead wood respiration or elemental analysis Experience with identification of soil invertebrates (nematodes, collembolans, annelids, mites) Competence in statistics and
-
Willingness to travel to Africa every year Good communication skills (e.g. previous presentation at a conference) Knowledge of French Knowledge of statistical methods using R (please specify which modelling