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what you bring. Do you recognize yourself in this? A PhD in science/STEM education or a closely related field. Demonstrated familiarity with one or more of the following theoretical and research areas
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. Job description Imagine extending decades of exquisite quantum control from atoms, ions, photons, and related quantum platforms to the rigid-body motion of an entire solid containing billions of atoms
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(learning-based) evaluation research. In this position you will work closely together with a PhD student that also works on this research. In addition, you help further shape the research programme and
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with academic partners. Job requirements We are looking for a highly motivated researcher with a strong background in atmospheric measurements and data analysis. You will have: A PhD in atmospheric
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the goal to obtain more in-depth process understanding and develop automated control strategies for single cell microbial suspension cultures. Currently, the team is working on liquid- and gas-phase
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challenge is assembling these units into spin lattices via surface deposition, controlling the phonon-mediated spin relaxation which hinders applications at room temperature, and addressing their magnetic
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)national scientific journals and 1 edited volume; Organizing expert meetings and a symposium; Co-organizing public events dissemination the project’s findings. This is what we ask of you PhD in a relevant
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on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy demand, hindering scale-up. Information This project will be executed together
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on agentic AI for autonomous mission planning, data acquisition and satellite tasking, adapting observation strategies based on real-time inputs and priorities. Smart Monitoring and AI-Based Control Design
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are excited by fundamental mathematical questions motivated by real-world scientific and technological challenges. You have: A PhD in Mathematics or a closely related field. A strong research background in one