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-error approach due to a lack of comprehensive hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve
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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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-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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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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); 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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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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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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, Sociology or related fields). The data collection is to take place in Denmark, so the PhD student must be fluent in Danish. Experience with qualitative methods is required, and related research experience
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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