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Field
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optimize a multimodal pretargeted radionuclide therapy approach for PDAC, leveraging the simultaneous targeting of both neoplastic and stromal targets to enhance therapeutic outcomes and reduce associated
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leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset to make viable
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optimization of synthesis conditions for selected electro-organocatalytic reactions. The PhD Student-Scholarship Holder (f/m) will be responsible for identifying new reaction pathways and optimizing reaction
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Additional comments For further information
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must
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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
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Job Description Are you interested in putting science in direct benefit of society? We are offering a full PhD fellowship to explore how AI, Mathematical Optimization, and Game Theory can be used
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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial
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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making