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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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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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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with rigorous device
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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 focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
chromatographic purification. Crystallization and precipitation are alternative purification techniques that operate at substantially lower costs, but their process design and optimization is challenging due
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ions of pharmaceutical relevance. Conducting ion-optical simulations to optimize ion trap performance and improve ion accumulation efficiency. Integrating the experimental control systems of the adapted
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an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How do we build and
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration