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Stellenanzeige teilen Are you passionate about understanding how artificial intelligence behaves and how it can be optimized to deliver meaningful impact in medicine? Join an interdisciplinary research environment
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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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FDSOI devices for neuromorphic computing applications Develop and optimize semiconductor fabrication processes in a state-of-the-art cleanroom environment Perform electrical characterization and analyze
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Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Jul 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,75 Offer Starting
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
on key attributes of manufacturing processes involving crystallization and precipitation that have transformed the rational design, control, and optimization of these processes. This project focuses
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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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experience, complemented by experience analyzing single-cell datasets (e.g. Seurat, Scanpy, or related pipelines). PhD in molecular biology, genomics, biomedical sciences, or a related life science discipline
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15 Jul 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Optics Researcher Profile First Stage Researcher (R1) Positions PhD
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15 Jul 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding