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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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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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/or Python are required. These should be documented, for example through a GitHub profile or similar. Familiarity with numerical methods for solving Maxwell’s equations, particularly in the context
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dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc
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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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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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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with