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. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
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/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous scientific writing or academic publications (e.g., peer-reviewed journals), industrial collaboration, knowledge transfer
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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis
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skills in English Candidates without a master’s degree have until 30.11.2026 to complete the final exam. Desired qualifications: Programming experience, e.g. in Python, particularly for machine learning
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metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent software. Dental crown materials, restorative dentistry, prosthodontics or dental laboratory workflows
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modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous
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condition of employment that the master's degree has been awarded. Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in
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, digital volume correlation, image registration, segmentation or quantitative image analysis. Surface metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent
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existing modules (by then) developed by the project team of ‘OceanCoupling ’. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts
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inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational