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Mechanical Engineering, Electrical Engineering, Physics, or Energy Science, and a strong analytical background in mathematics and physics. You bring experience and knowledge in the following areas: modelling
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial
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based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members
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the methodological approaches to the requirements of the data set Your qualifications: (at start of employment): MSc in geophysics, physics or computer science/mathematics or related disciplines Experience in
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mathematics, computational materials science or a related field, or other education considered equivalent to these qualifications. We require good oral and written skills in English. Additional qualifications
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engineering (or a closely related field), with a solid foundation in mathematics (e.g., matrix algebra) and coursework in areas such as digital signal processing, sound processing, and machine learning
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university; Strong interest in nonequilibrium statistical physics and the physics
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Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be considered, but it will further be required that they also have a strong interest in