15 statistics PhD scholarships at Norwegian University of Life Sciences (NMBU)

PhD scholarship within nutrition, immunology and cancer

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

PhD scholarship within Environmental Soil Physics

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

PhD scholarship within bioinformatics

position The research group BIAS (Bioinformatics and Applied Statistics), Faculty of chemistry, biotechnology and food sciences (KBM) at the Norwegian University of Life Sciences (NMBU) has a vacant three

PhD scholarship within environmental radiochemistry

gamma-radiation), mass spectrometry analysis or with X-ray based analytical methods. Experience with programming and data analysis, including applied statistics. You need to have: Strong scientific

PhD scholarship within modelling of evapotranspiration using remotely sensed data

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

PhD position in modelling of Porous Electrode Charging

and motivation for the position. The following experiences and skills will be emphasized: Strong background in statistical physics and electrodynamics Strong skills in mathematics and analytical

PhD position within second life prospect of degraded Lithium-Ion batteries

systems Strong skills in data analytics, statistics and/or machine learning techniques. Skills in scientific writing The applicant's estimated academic and personal ability to complete the project within

2 PhD positions within Environmental Engineering focusing on sustainable aquaculture

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

PhD scholarship within Forest Ecology

with DNA metabarcoding, soil/dead wood respiration or elemental analysis Experience with identification of soil invertebrates (nematodes, collembolans, annelids, mites) Competence in statistics and

PhD within Sustainable harvesting of wild Animals in African forests and impacts on carbon stocks

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