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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Mathematics Physics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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a PhD in Chemistry, Physics or Materials Science with a proven research track record and solid background enabling the study of completely new problems. The post is available until 30 September 2026
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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PhD scholar, it is envisaged that the following studies will form part of the PhD process for one/both prospective students: State of the art review of current discourse on the (i) science and
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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Supervisor: Joann Whalen, PhD Department of Natural Resource Sciences Macdonald Campus; McGill University Position Summary: Use modern digital communication techniques to engage stakeholders interested in soil
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literature review and qualitative methods. Ability to work underpresure. Excellent time management skills. A PhD in the field related to the study is preferred Before applying, please note that to work
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors