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, 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
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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
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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
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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
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in statistical physics and electrodynamics Strong skills in mathematics and analytical derivations Programming skills Experience with numerical computations. Knowledge of physical chemistry, soft
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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
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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
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Good communication and presentation skills Knowledge of French Knowledge of statistical methods, including R, is highly desirable (if not the candidate will have to follow a course) Interest in cultural
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. The candidates are anticipated to undertake: Review of the scientific literature and state-of-the-art on treatment technologies for aquaculture sludge and wastewater Advanced statistical analysis and other data