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devising solutions to these problems. ● Experience with GitHub Actions, GitLab CI, or similar CI/CD systems ● PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely
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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101222089 — ERC-2025-STG– ERC STARTING GRANTS Is the Job related to staff position within a Research Infrastructure? No
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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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of complex molecules and reactions. Must have PhD in Physical/Theoretical Chemistry or Artificial Intelligence/Machine Learning or related fields. This position will be initially awarded for one year, and
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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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September 2027, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is required. Profile We welcome applications from highly motivated candidates with a background in
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with academic researchers, clinicians, patient partners, and the University of Dundee Health Informatics Centre, contributing to research that aims to transform how neuropathic pain is studied using
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will