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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 3 months ago
intensive products back to developed countries. The development of these policies in the EU and the UK could have substantial effects on British companies and for the ability of UK regions to attract FDIs
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standard of musicality and potential to further develop their conducting skills. Benefits This award provides a one-off payment of approximately $8000 and a professional development opportunity. Amount: Up
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not responsible for the accuracy or content on such websites and the inclusion of such links does not imply endorsement of the linked websites or their providers. Commonwealth PhD Scholarships
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issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich. We offer ideal conditions for
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Chromatography modeling, while crucial for modern bipporcess development, still
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Research Scholarship , which includes an additional top-up stipend and research support allowance. Don’t have your own research topic or need some inspiration? Check out our dedicated Graduate Research PhD
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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI
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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project aims at relating precisely timed spike constellations
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Your Job: The PhD position is offered in the context of the HDS-LEE graduate school. We are looking for a highly motivated PhD candidate to join our world-leading research program in Earth System
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular