99 postdoctoral-position-in-material-science scholarships at Chalmers University of Technology
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. The PhD position has a duration of 4 years, with a starting date September 2024. Project description The research is part of a project focusing on nanoscale wetting phenomena in two dimensional materials
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(EDX) and Electron Backscattered Diffraction (EBSD) detectors. Qualifications To be eligible for the PhD position, you must hold a master's level degree (or equivalent) preferably in chemistry, materials
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. One of our focus areas is to design materials capable of withstanding aggressive high temperature process environments. About the position Materials performance stands as a crucial barrier inhibiting
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of biology and medicine, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, as well as theory and modeling. The department is committed to teaching
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within chemistry and chemical engineering. The research activities span from fundamental chemistry, chemistry at the interface of biology and medicine, materials science, renewable energy, to chemical
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connection with this position. *** Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical
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for applied AI that is bringing together over 120 partners across public and private sectors including academia. Major responsibilities The position comes with enrollment in the PhD program for Computer Science
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description We are announcing one PhD position that is placed at the Division for Interaction Design and Software Engineering with Chalmers University of Technology as the employer. Our division provides world
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Chalmers is funding a bunch of PhDs projects in the next few months. Five of them in total, and applicants can select from a bunch of projects. One of them is...
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This is a broad call for up to five fully funded PhD positions in computer science and engineering covering areas such as: data science, logic and types, natural language processing, formal methods