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to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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Engineering at the department of Engineering Structures within TU Delft's Faculty of Civil Engineering and Geosciences deals with the physical assets of the railway system, including track, embankment, rolling
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. Selection process Are you interested in this vacancy? Please apply no later than 29 May 2024 via the application button and upload your motivation and CV. You can apply online. We will not process
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engineering, physics or chemistry. Preference will be given to applications submitted by candidates who have received their PhD within the past five years. Additional requirements You should also have
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of payloads during the destructive physical analysis (DPA) of cells/batteries phase and analyse the related results. Technical competencies Knowledge relevant to the field of research Research/publication
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of Engineering Structures within TU Delft's Faculty of Civil Engineering and Geosciences deals with the physical assets of the railway system, including track, embankment, rolling stock and catenary, as
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Faculty of Civil Engineering and Geosciences deals with the physical assets of the railway system, including track, embankment, rolling stock and catenary, as well as the interfaces and dynamic interactions
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23 May 2024 Job Information Organisation/Company Utrecht University Research Field Physics Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 9 Jun 2024 - 21:59
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edible food packaging material. Your primary responsibilities will include: conducting experimental activities related to the characterization of bio-based films, including physical, chemical, mechanical