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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 10 hours ago
provide a unique opportunity for PhD research and training in modern plant science. Understanding the fundamental processes of how plants grow, reproduce and interact with the abiotic and biotic environment
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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. The recruited PhD candidate will work in an interdisciplinary and international research environment at the interface of nanophotonics, materials science, and energy-related applications. The project offers
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, organisational/community design) • Interaction Design (e.g. design-oriented HCI, user experience and interface design, research through design, design methodologies, interactive computing) Candidates are expected
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responses, and molecular connectomics to resolve the synaptic inputs of hundreds of neurons simultaneously (https://doi.org/10.1101/2025.07.16.665048). We are seeking candidates with a PhD in Neuroscience or
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28 Jan 2026 Job Information Organisation/Company CIC nanoGUNE Department Nanomagnetism Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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» Programming Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type
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Scherrer Institute (PSI) invites applications for a highly motivated postdoctoral researcher to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof
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. Interface with external vendors and contractors to support the scale-up and fabrication of electric motors, ensuring quality, schedule adherence, and alignment with design specifications. Prepare high-quality
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-source interfaces. Investigate user‑friendly strategies for interacting with generative inference parameters and control mechanisms tailored to the target agricultural use case, supporting multiple