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which can also be adapted to students’ interests and experience. Prospective candidates should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing
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process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the offer that is of interest
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/listPublicacionsAmbCategoria?categoria.id=861881 Direct link to the application process: http://www.ub.edu/caiac/solBeca?idConvocatoria=50425 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50425
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no later than October 1, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis
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The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the
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the application phase may be replaced by a declaration of honour as stated in point no. 2). iii) Declaration of honour attesting to the commitment to enroll in a PhD, if the scholarship is selected and accepts
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Lymphoedema-associated EPHB4 receptor tyrosine kinase variants on the downstream signalling cascades and their molecular and cellular consequences. The post holder will have a PhD in cell biology and/or
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, Biodiversity or related topics and fulfil the requirements to be admitted into the Ecology, Environmental Science and Plant Physiology PhD program at the Universitat de Barcelona. https://web.ub.edu/en/web
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/ Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Externally or self-funded students only View DetailsEmail EnquiryApply Online
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identify radio signal features that predict future outcomes and use them to guide and accelerate learning? This PhD project addresses this question by studying how agents can: extract radio-derived features