18 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNSW-Science" PhD positions at Linköping University
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. Further extensions can be granted in special circumstances. This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE
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application! We are looking for a PhD student in Medical Science. Your work assignments Cancer cells face constant challenges in maintaining protein and lipid homeostasis while sustaining rapid growth
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application! We are looking for a PhD student in Medical Science. Your work assignments We are looking for a PhD student to join Professor Henrik Green’s research group, focusing on studies of new
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Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group
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years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Re sponse Di versity knowledge to L everage E fficient E cosystem P reservationand
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Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Re sponse Di versity knowledge to L everage E fficient E cosystem P reservationand
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. Your qualifications You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical engineering, or completed courses with a minimum of 240
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi