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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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focus on power electronics and control technology as well as a subsequent PhD in a related field, ideally involving system modelling and/or power electronic systems Proven experience in modelling and
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establishing the institute Writing of third-party funding grants and support thereof Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
superconductor technology Fundamental knowledge in magnetic confinement fusion and particular Stellarators beneficial An excellent command of written and spoken English Your abilities Ability
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applications. This PhD project is part of a collaborative initiative combining synthetic biology, nanomaterials, and biomedical engineering, with the aim to develop remotely controllable bio-hybrid implants
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movement control in healthy individuals and patients with psychotic disorders” – ideally with you on board! The applicant will contribute to the development, evaluation and application of new EEG and MEG
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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application-inspired. In our Department System Process Engineering, we are seeking for a Post Doc (m/f/d) – 100 % in non-invasive measurement methods for process and quality control During agricultural-related