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Qualification Type: PhD Funding amount: Refer to advert Discipline: Engineering & Technology Materials Science Other Engineering Physical & Environmental Sciences A fully funded PhD studentship is
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willing to travel to and from Sheffield. The candidate will have experience in, or receive training in cutting-edge proteomics methods, and will have experience in analysing big data. A keen interest in
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experts from INPE and IEAv to ensure accurate, meaningful annotations; Validate computational methods proposed by Master’s and PhD students; Deliver a well-structured, documented dataset to support
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. The Department has about 36 permanent academic staff members and approximately 30 PhD and postdoc positions. The Department offers educational programs in information science, artificial intelligence, cognitive
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
to the maximum of 15 months, including the duration of the initial contract It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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on urban transformation, innovation governance and sustainability transformation. Design and undertake qualitative and mixed-methods research, including interviews, workshops, documentary analysis and
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grant proposal writing, and related tasks. Further development and practical implementation of innovative MRI acquisition and data analysis methods. Providing scientific and methodological support and