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Your Job: Are you enthusiastic about the versatility of catalysis research and reactor technology? In this explorative PostDoc position you will have the opportunity to test a variety of approaches, develop innovative concepts and create the basis for future-oriented third-party funded projects....
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Wissenschaftliches Personal The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 3 hours 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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) to conceptualize and quantify the controls of anvil extent and cloud feedback of tropical deep convection across scales. As a successful candidate, you will combine your expertise in deep convective processes with
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that might integrate spatial analytical methods Excellent command of the English language (written and oral) Strong organizational skills and ability to work independently Love for working in
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to statistical analyze longitudinal cognitive data Experience with the preparation of scientific publications Result-oriented and independent approach to work High communication skills and good command of English
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assess the process maturity of new, still immature production processes along their process development and optimization. The concepts of "observability" and "controllability" known from systems theory
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the advection, cooling, and drying of air masses from lower latitudes. To better constrain future Arctic climate change, we want to understand how boundary-layer and cloud processes drive and control these air
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential