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, the work will focus on the design and fabrication of functional electrode coating materials (nano-enzymes) and surface architectures that enable reversible analyte binding, high signal stability, and
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working platform to access trees from top to bottom. Key analytical techniques for this position will be gas chromatography-mass spectrometry (GC-MS), proton transfer reaction mass spectrometry (PTR-MS
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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signatures; 3. Analyse the unique acoustic signatures of different abiotic stresses on plants by means of advanced analytics methods. This is a novel approach as previous research focused on single stresses
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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må du være oppmerksom på at enkelte funksjoner og tjenester ikke kan brukes, da de forutsetter at nettsiden kan huske de valgene du gjør. Du kan velge bort cookies fra Google Analytics her . Det er
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive
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shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient