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05.01.2025, Wissenschaftliches Personal The group “sustainable energy materials” offers a position to pursue a PhD (f/m/d) in Electrochemistry / Automation About us: Our group “Sustainable Energy
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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implementation of an automated test stand for superconducting cavities of HELIAC, which are currently under fabrication. The work will include aspects of RF design, cryogenic integration, and test automation, in
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
engineering. We are looking for talented people to join us. Your responsibilities include: Setting up automated, laboratory scale reaction processes for synthesizing and optimizing nanoparticles and
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are currently under fabrication. The work will include aspects of RF design, cryogenic integration, and test automation, in close collaboration with experts from the RF, cryogenics, and control systems groups
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity
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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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with connected goods logistics. These systems are designed to enable the targeted reuse of products, components, and resources through AI-based classification and automated sorting, and to transport them