59 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" uni jobs at Forschungszentrum Jülich
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
Your Job: Development and evaluation of process concepts in the field of liquid organic hydrogen carriers (LOHC) Development of steady-state and dynamic process and reactor models for the simulation
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed qualification to enroll for the Master thesis in Physics, Chemistry, or Materials Sciences, with a good
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Your Job: Create confined electronic systems, based on state-of-the-art thin film technologies and subsequent delamination of atomically defined oxides. Master the transfer process for
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is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed qualification to enroll for the Master thesis in Physics, Materials Sciences or Chemistry, with
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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
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to make them usable for transparent energy system analyses. You will process and semantically enrich the collected data before it is integrated into a knowledge-graph-based metadata platform. In
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practical way. Ideally, you bring: A completed university degree (Master’s degree or equivalent) in data science, information engineering, computer science, or a related field; a doctorate is welcome but not