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Field
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programming skills in Python and/or C/C++, with experience using machine learning frameworks such as PyTorch or TensorFlow. Familiarity with rendering, simulation, or physics-based modelling (e.g., ray tracing
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participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira José Lima Inês Sena 11. Method of publication
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methods is helpful but not essential. Some programming experience, for example in Python or R, is an advantage, and applicants should be willing to develop it during the PhD. How to apply Informal enquiries
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quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently
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mathematical skills, with an interest in computational mechanics and numerical modelling. Experience in programming or scientific computing using languages such as Python, and C++. Good written and verbal
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that candidates possess expertise in some (but not all, or even most) of the following areas: A strong mathematical background Ability to program in MATLAB, Python, or a similar scientific programming language
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PhD. Be able to commence the Program in the year of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together