Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
chemical, geology, microbiology and economics. Knowledge of Gis and statistical analysis. Experience in groundwater and surface water contamination studies. To have worked in the Muga basin on water-related
-
Proficiency in curating and analyzing large datasets Proficiency in analyzing spatial data Strong statistical background Experience in fieldwork LanguagesENGLISHLevelExcellent Research FieldBiological
-
collection. Analysis of the collected samples Statistical treatment of the data. Writing reports and manuscripts for publication Requirements Research FieldEducational sciencesEducation LevelPhD or equivalent
-
programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc
-
climate dynamics and statistical analysis. Specific Requirements Good skills at programming (python). Experience writing scientific articles and presenting results at international conferences
-
for their stable isotopes’ composition. Additionally, you will also participate in the statistical analysis of the obtained data. Requirements: Bachelor's degree in marine sciences, marine biology, environmental
-
responsible for developing models and conducting statistical analyses on data obtained from spectroscopic and geochemical analyses of geological and archaeological chert samples. Additionally, the applicant
-
in any of the following areas are desirable (but optional): Probability and statistics. Mathematics and/or applied mathematics. Bias detection and correction. Transfer learning and domain adaptation
-
and monitoring fieldwork, (2) carry out in situ experiments to assess the recruitment of the model coral species, (3) statistically analyse data obtained, and (4) write reports and scientific research
-
available1Company/InstituteDepartment of Genetics, Microbiology and Statistics. Faculty of Biology. University of Barcelona. CountrySpainState/ProvinceBarcelonaCityBarcelonaPostal Code08028 BarcelonaStreetAv