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Field
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Disease Dynamics and Interventions group , the role focuses on developing and applying sophisticated mathematical, statistical and computational models to inform vaccination strategies for endemic
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mathematics and geometry, with a focus on rigidity theory, graphic statics, and the incorporation of moments and shear forces, under the supervision of Dr. Bernd Schulze. Develop and apply mathematical tools
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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer
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Your profile PhD degree in Computer Science, Applied Mathematics, Computational Engineering, Physics, or an equivalent field with a focus on High-Performance Computing Advanced Know-How in the fields
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Climate (AWC) strategy, CAES integrates advanced research, education, and innovation across multiple disciplines. By leveraging cutting-edge technologies, strategic partnerships, and applied research, CAES
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criteria: • Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience • Strong background in mathematical optimisation
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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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varieties. Applicants should hold or be close to completing a PhD in mathematics. It is desirable that they have research experience in at least one of the following areas: families of singularities
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Contributing to scientific publications in high-impact journals and conferences Participating in the preparation of research proposals and project reports Supervising MSc students and contributing to PhD co
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys