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an oncolytic adenovirus, with the aim of assessing their predictive value. In addition, you will be involved in trial-associated studies that map immune responses to OV treatment in patients. Where to apply
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ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess excellent analytical and writing skills
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multifidelity modelling, and goal-oriented numerical error estimation. The resulting surrogate model will map uncertain meta-ocean conditions to key quantities of interest for OFPV performance and sustainability
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mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room
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traps, vegetation plots) and for ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess
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characterisation factors by integrating the biodiversity response estimates with maps of agricultural management systems in species-area models for different ecoregions. This will result in a set of LCA
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using