24 power-electronics-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich in Germany
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description: Postdoc / Modelling and Analysis of Integrated Power, Gas and Hydrogen
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research and development work is to develop cost-effective batteries, fuel cells and electrolysers with improved energy and power density, longer service life and maximum safety! Hydrogen production based on
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engineering or a comparable field of study Strong interest in Power-To-X technologies, system optimization and process modelling Basic knowledge of chemical reaction engineering, thermodynamics and
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and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual
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methods or data processing is desirable Very good command of German and/or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin
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Master Thesis - Realtime Evaluation of Occupant Building Interactions using Modelica Building Models
addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age
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Graduate School HITEC ( https://www.hitec-graduate-school.de ). Your Job Developing drone-mounted sensors for sample collection and measurement of greenhouse gases and ozone-depleting substances
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning