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into the process of star formation in interstellar clouds, in particular the effect of feedback from young stars on their birth environment. Funding is now available for a PhD candidate to analyze the GUSTO data
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influential ranking lists. Qualifications We are looking for a candidate with • A Master’s degree in chemistry or physics, with a specialization in theoretical chemistry/physics or related fields. • A strong
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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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coverage of the 30 Dor region. The high-resolution GUSTO spectra are expected to provide new insights into the process of star formation in interstellar clouds, in particular the effect of feedback from
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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 (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with
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programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with local companies, focuses on the direct needs of the industry. The Engineering and Technology
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, hydrogel 3D printing, 3D printed electronics, electroprinting, electrospinning, aerosol jet printing. Experience with lithographic microfabrication process flows in a cleanroom is a plus. Experience in
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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