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with image analysis tools such as MATLAB, ImageJ, and basic AI tools All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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-economic study, design and analysis of integrated systems. Experience with energy system modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis
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Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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with salt tectonics is an advantage. Experience with the South Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work
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, EEG, eye-tracking), but applicants with strong methodological skills from related fields are also encouraged to apply. Experience with tailored analysis software, including MATLAB, python and method
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skills (e.g. Matlab, Python or similar). Knowledge of European standards for the design of buildings (Eurocodes) Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research