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Your Job: Hydrogen is a key element of the energy system of the future. However, in many processes it is only produced in limited purity and/or is only available at low pressures. Your task is to
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Description The ERC-funded project “Network Epistemology in Practice” (NEPI) is seeking a research assistant in the Digital Humanities with a strong interest in the history, philosophy, and/or sociology
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Chemistry » Solar chemistry Chemistry » Heterogeneous catalysis Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline
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Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. For more detailed information about the cookies we use, please see our Cookie policy I Accept Cookies I Do Not Accept Cookies Necessary cookies enable core...
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) on the project Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis and Electrochemistry for the Spectro-Microscopy group within the Department of Interface Science . The Department of Interface
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Assistant (m/w/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Assessment of values-based interventions in transdisciplinary processes for sustainability transformations
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: Research Assistant (m/f/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Evaluation of transdisciplinary processes for sustainability transformations Part time position
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially
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conferences In-depth experience and knowledge in digital image processing and analysis Solid experience in other material characterization techniques Experience in the design and implementation of experimental
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches