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description and tasks The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project supervised by Sebastian Throm. The subject area of the announced position
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) A new project area in the institute is the development of artificial intelligence (AI
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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(Co-I) and a post-doctoral researcher focussed on numerical aspects of the network model analysis. Being part of the wider Mathematical Neuroscience research theme within the School of Mathematical
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially
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interpersonal skills with the ability to work with patients, members of the public, and present as a representative of the lab at national and international scientific events • Demonstrate strong mathematical
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Status: Closed Applications open: 15/05/2025 Applications close: 31/05/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded as part
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across