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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
Job Code: 23.25 Job Offer from October 22, 2025 Aim: Design, build, and test an ion soft landing instrument and program its control software. Fields: Instrument building, Software development, Ion
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elucidate how they use CTP binding and hydrolysis to control protein activity and cellular functions. To this end, the project will identify novel C-switch proteins, analyse the functions of prototypical
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and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid
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materials, and interest in operando characterization Experience with programming / scripting (ideally Python), and, optionally, with control systems (SPS/PLC, EPICS, Tango) Fluent in written and spoken
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robotic and automation subsystems. We are searching an interdisciplinary scientist with a passion for translating their expertise into biological applications. You will engineer new sensing and control
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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survey experiments; • Competence in statistical programs (STATA, R etc.) • Ability to write and publish in social science journals; • Strong organizational and communication skills; • Excellent command
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as well as strong command of the current debates in the research field. Experience in comparative research illuminating the global influences and interconnections of far-right movements is particularly
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experience with nonequilibrium statistical physics and a strong interest in active matter physics; Ability and desire to work in an international team on interdisciplinary research topics; Good command
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protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions Merging experimental results, simulations, and literature for optimal conditions