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microbial biotechnology components into designs for a 3D bioreactor, whilst also optimising co-culturing methods and post-growth materials testing and characterisation. These materials will incorporate
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. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from mathematical machine learning
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analytics methods Contribute to the understanding of illicit financial flows in the crypto-asset ecosystem Develop strategies to improve the design of public-private cooperation in crypto-asset compliance and
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numerical methods, as well as familiarity with concepts in complex systems, physical memories or machine learning. We strongly believe in the benefits of an inclusive and diverse research environment, and
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Analyze blockchain data and develop innovative analytics methods Contribute to the understanding of illicit financial flows in the crypto-asset ecosystem Develop strategies to improve the design of public
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develop multi-modal AI methods to integrate MRI, echocardiography, ECG, longitudinal EHRs, and other clinical modalities. By disentangling technical noise, physiological variability, and disease-specific
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method such as ReCiPe 2016 alongside the UCrad model for radiological effects. This work will significantly contribute to developing a holistic perspective on SMR waste management and informing technology
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for selected electro-organic transformation in detail: Design, validation and verification of online and offline analytical methods Design, synthesis, and characterization of catalytic materials Utilization
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collecting the samples, you will perform lab analyses to determine the total elemental composition and elemental speciation of various chemical compounds using ICP-MS based methods, as well as other chemical
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI