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, Statistics, Economics, Learning Sciences, or a related field to join TRACE at the Hector Research Institute of Education Sciences and Psychology, University of Tübingen. TRACE investigates how university
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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, and recruiting participants to the design); You will use advanced statistical and computational methods to process and analyze data; You will write international peer-reviewed scientific papers; You
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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qualifications and experience: Excellent command of English, both written and spoken; proficiency in Dutch is an advantage Adequate knowledge of statistics, including experience with data analysis Desirable skills
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competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior
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in Civil Engineering, Materials Engineering, Industrial Engineering, Mathematics/Statistics (line 4) or related. English, B2 or higher. How to apply Email to [email protected] with subject
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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bibliometrics and statistics). Resources: Access to prestigious databases, library resources, and funding for participation in international scientific conferences. Work Location(s) Number of offers