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this industrial PhD studentship in Physics – fully funded by the EPSRC and QinetiQ. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas, perspectives, and
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-for-synthetic-bio
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. To learn more about Keene State College, the University System of New Hampshire, and the Keene community, please visit: https://www.keene.edu , https://www.usnh.edu/ or https://www.ci.keene.nh.us . EEO
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://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References https://royalsocietypublishing.org/doi/10.1098/rstb.2020.0471 View DetailsEmail EnquiryApply Online
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20th April 2026 Languages English English English Interested in how starter cultures enhance food safety and reduce waste in modern food production PhD scholarship within Food Microbiology Apply
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 12 days ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The PhD position is located within Department of Computer Science (DIDA) SDS (secure and distributed
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM