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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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. for students in the new Bioengineering PhD program), including the design of custom microscopy setups for specific imaging applications. This position will be appointed at the rank of Professional Specialist
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/nanofabrication, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly
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differentiation, signal transduction, and gene expression, working at the interface of structural and computational biology, chemistry, and biology. IRB Barcelona is embedded in a vibrant scientific ecosystem and
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of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science). Are you passionate about uncovering the brain mechanisms that support adaptive
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one of the most pressing environmental challenges - the global “forever chemical” (PFAS) crisis. This exploratory project is funded by the Villum Experiment Programme and aims to move beyond
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. Funding Notes Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can also apply for a scholarship from the University
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research