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Carbon chemistry on the surfaces of the Galilean ice moons In the group of Dr. Niels Ligterink, a laboratory-based PhD project is available on the investigation of carbon chemistry on the heavily
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-americium. For a thorough safety assessment of this power source and to help the synthesis process, more insights into the complex chemistry of the americium-uranium-neptunium-oxygen system are required
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, nanobiology, chemistry, or a closely related discipline. Have excellent written and spoken English skills (see below). Thrive in an international, ambitious, multidisciplinary, and highly collaborative
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multidisciplinary approach blends chemistry, mathematics, physics, biology, and material science. We prioritise both excellence in research and education while valuing a supportive culture within our department. As a
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. The data acquired with your chip(s) will be analyzed with machine-learning algorithms. You will collaborate with researchers and companies of various disciplines like chemistry, embedded systems, software
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receive all the necessary training and support to excel in your expert role within our welcoming environment. You hold a PhD in life science, engineering, physics, chemistry or another relevant field. You
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in physics, chemistry, material science, industrial ecology, or a related discipline Expertise in one of the following areas: Life cycle assessment, material supply evaluation or circularity of PV
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& charge diffusion (Applied) physics, chemistry, computer science, imaging science, (electron) optics, solid-state physics, radiation chemistry 3. Signal generation and detection Artefact and charging damage
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collectively share the responsibility for finances and strategic choices of the Department. A Ph.D. degree in Materials Science and Engineering or a closely related field, like Physics or Chemistry. Post
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Physics, Materials Science, Chemistry, or related field. Strong background in computational materials science, with DFT simulation expertise. Experience with DFT software (e.g., VASP, AMS, Quantum ATK