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The PhD position is part of the MSCA Doctoral Network PANDORA on discovering Pathomechanisms and Novel Drug Optimization for AMD (Age-Related Macular Degeneration). AMD is the most common cause of blindness
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. In addition, the MCAV approach can be optimized by leveraging information from all individual cavities, rather than relying solely on their vector sum, thereby enabling the development of a MIMO
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The Department Mechanisms of Sustainable Electrocatalysis is looking for PhD Student (f/m/d) Data-Driven Optimization of Electrocatalyst Deposition and Activity Your Tasks Develop and optimize electrochemical
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the viewpoint of the social and philosophical studies of science. About the FairCFD project Over the past seven decades, Computational Fluid Dynamics (CFD) has enabled increasingly efficient industrial processes
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
and is limited to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
Job Code: MPIDS-W093 Job Offer from August 25, 2026 In the Max Planck Research Group “Theory of Turbulent Convection” of the department “Fluid Physics, Pattern Formation and Biocomplexity” we seek
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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Grant Agreement No. 101312169. Working tasks: The PhD-project DC10 focuses on laser-beam micromachining for manufacturing of moulds for bio-analytical devices. The aim is to optimize scanning strategies
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through a proactive, systematic approach • Ability to work in a team as well as independently • Mechanical design as well as analysis of structural and fluid dynamic engineering problems • Fluent
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and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability, light-induced phase segregation, ion migration