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and pursue research projects independently as well as in collaborations with multi-disciplinary teams. experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as
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., R, Python). Strong organizational skills, reliability, and an ability to work independently. Willingness to participate in fieldwork campaigns, including multi-day site visits. Good written and oral
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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student in Social Sciences (f.e. Economics, Political Science, Sociology, Psychology) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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. Requirements: MSc degree in physics, materials science, or in a related discipline Basic knowledge of programming in ideally in Python Self-management and active collaboration in a team of scientists
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, Economics, Environmental Sciences, or a related field excellent analytical skills and interest in theoretical and applied modeling required: demonstrated programming experience (knowledge of R, Python and/or
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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary