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-supervisor from the partner university); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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Employment Doctoral studies at SLU with 80% study activity & 20% work with an industry partner for 5 years Permanent employment with an industry-/collaboration partner You can find more information about open
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are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase. Data flow diagrams used at NOLAI capture the processing, storage and
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aligned nations may face considerable challenges. How to apply For further information please contact: Name: Enric Grustan-Gutiérrez Email: e.grustan@cranfield.ac.uk If you are
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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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system will manage and adjust the way information is used in real time. Cranfield University is a globally recognised postgraduate institution focused on applied research and strong links with industry
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scholar, highlighting growth from where you began to where you envision going in the next few years. (Optional) Misc / Additional (Optional) Reference requirements 3-5 required (contact information only
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hepatitis C virus (HCV)) among migrants to high-income countries through systematic review and, if appropriate, meta-analysis; • building on previous work linking administrative immigration data with