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Europe | about 1 month ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device
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the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our
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information about the procedure, please contact Jouke van Oostenbrugge, Corporate recruiter via recruitment.ssg@wur.nl . Ready to apply? Click on the application button next to the vacancy on our website. Only
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, including scenario-based and tube-based approaches, to ensure reliable operation despite significant uncertainty in weather, demand and energy prices. In collaboration with UK Power Networks and SSE Energy
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and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The University
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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resilience and sustainable forest stewardship in the face of global changes.Support includes a competitive funding package, and also includes: designated lab/office space, computer and software, conference
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relating to the role ( andrew.dunning@bodleian.ox.ac.uk ). General queries about the recruitment and application process should be directed to the Recruitment team ( recruitment@glam.ox.ac.uk ). Only
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning