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Field
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) Applications are invited for a three-year PhD studentship. The studentship will start on1st Jan, 2026. Project Description Glioblastoma (GBM) is the most aggressive and treatment-resistant form of brain cancer
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for: computers able to process information more like the brain, studying how to reproduce some of the properties of biological neurons and synapses using networks of molecules and nanostructures, and other
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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which intranasal oxytocin affects brain function. Demonstrators are expected to spend 144 hours per annum on education activities as Graduate Teaching Assistants (GTAs) (e.g., leading seminars and
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influence brain and heart health. Responsibilities will involve recruiting participants, screening participants for eligibility, scheduling participants, collecting physiological and brain imaging data (MRI
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valuable experience that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be the Head of the Acoustics Group About the project This PhD
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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neuroinflammation. The PhD student will help uncover the molecular and cellular pathways linking the allergic gut to the inflamed brain, and how these pathways shape disease risk later in life. The successful
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synergy across mathematics, physics, and biology whose members are: Senja Barthel -- https://research.vu.nl/en/persons/senja-barthel Antoine Deblais -- https://www.deb-lab.com/ Joanna Ellis-Monaghan https
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29 Aug 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country