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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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of acaricides, and in vitro models to investigate the transmission of tick-borne pathogens. Job description: Independently conduct a research project focused on the development and optimization of artificial tick
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postdoc position to begin as soon as possible. Postdoctoral position: Acoustic metamaterials at MHz frequencies (f/m/d) Background: The position is funded via the Excellence Cluster “3D Matter Made to Order
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The Institut für Auditorische Neurowissenschaften of the University Medical Center Göttingen is looking for a new position for the earliest start date Postdoc position (f/m/d) full time, with 38,5
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
Systems is inviting applications for the Postdoc (f/m/d) position. Research topic: „Developing optical microfluidic platforms for high-throughput studies of phase transitions“ The position is to be filled
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Established Researcher (R3) Positions Postdoc Positions Application Deadline 15 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer
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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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Microbes to Fight Infections . Your Responsibilities optimize cultivation and production conditions for boromycin from its native bacterial producer design and synthesize boromycin derivatives and cellular
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. The PostDoc project is part of the “CoEvolve” research consortium, funded by the European Union through an ERC Synergy Grant. The goal of the project is to better understand and predict the co-evolution