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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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materials physics will be a clear advantage. The successful candidate is expected to have an excellent academic record and is curious, creative and ambitious. You should be able to work in a multidisciplinary
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materials science and engineering. A strong background in chemical vapor deposition and materials physics will be a clear advantage. The successful candidate is expected to have an excellent academic record
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16 May 2024 Job Information Organisation/Company University of Groningen Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 24 Jun 2024
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to the same email address. The deadline for applications is 9th April 2024. The review process will start immediately, but applications will be considered until the position is filled. The successful candidate
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applicants. Starting date: 1 September 2024 Selection process Applications should include the following - short cover letter - full CV, including a list of publications and presentations - a brief research
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for a period of 2.5 years. Intended starting date: 1 September 2024 Selection process You can apply by submitting a letter of application and curriculum vitae before 30 May 2024. Only submissions via
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28 Mar 2024 Job Information Organisation/Company University of Groningen Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 15 May 2024
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1.0 FTE for a period of 2 years. Intended starting date: September 2024 Selection process You may apply for this position until 12 May 11:59pm / before 13 May 2024 Dutch local time (CEST) by means