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://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Available for self or externally funded students only
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. More information can be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition . The proof of registration in the PhD/Non-degree course degree is required for the fellowship
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Benefits - A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
the Agence Innovation Defense (AID) to leverage artificial intelligence in robotic teleoperation. Within this project, an objective is to develop a generic graphical and physical interface that combines
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academic and industrial partners all around the world. A focus of our research are Engineered Living Materials (ELMs), an emergent class of materials at the interface between materials science and synthetic
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team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Resistance Analysis: Conduct simulations to analyze wave interactions, buoyancy, and stability
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motivated and independent researcher with a strong interest in spatial gene regulation, root–soil interactions, and molecular cell biology. Applicants must hold (or be nearing completion of) a PhD in
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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PhD in Statistical Science, two MS degrees (Biostatistics and Statistical Science with concentrations in Modern Statistics and Statistical Data Science), a BS in Statistics with four concentrations, and
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developed high-sensitivity detectors to probe newly discovered anomalous quantum Hall effect phases in rhombohedral graphene. In particular, we wish to study phases that, due to interaction, exhibit