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of grades from Bachelor's and Master's degrees At least 2 reference letters Organisational Unit The Institute of Physics at the University of Graz invites applications for a 3.5-year PhD position, expected
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challenging. The objective of this PhD is to develop a predictive modeling framework that explicitly links multiscale physical mechanisms to macroscopic responses. The work will follow a multiscale and
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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From migration to morphogenesis: how cells stop moving and build epithelia School of Biosciences PhD Research Project Self Funded Dr Kyra Campbell Application Deadline: Applications accepted all
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about the lab at: https://mbzuai.ac.ae/study/faculty/natasa-przulj/ and https://przulj-lab.github.io/ Qualifications PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. The department educates PharmDs, MDs, Masters’ in Translational Medicine and PhDs in Bioengineering and Therapeutic Sciences. Required Qualifications Bachelor's degree in related area and / or equivalent
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
project strategy while helping coordinate efforts across multiple parallel projects. We are seeking candidates who thrive in a fast-paced, innovation-driven environment and who are excited to work across
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The MS hand: Measuring hand function with a smart glove School of Medicine and Population Health PhD Research Project Directly Funded UK Students Dr Gavin Brittain, Dr James Alix, Dr Thomas
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Institute PhD Research Project Directly Funded UK Students Prof David Fletcher, Prof Paul Richmond, Prof Roger Lewis Application Deadline: 14 May 2026 Details This project is part of cohort 3 of the EPSRC
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed