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directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen
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• To conduct research on community-engaged design practices in the Pacific Rim, including practices that are specific to selected countries as well as translocal networks and collaboration
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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plus · Experience with one or more of representation learning, generative modeling, graph neural networks, transformers, or foundation model pretraining and fine-tuning is a plus
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for complex food and maritime supply chain systems considering disruptions and climate changes (2) Develop statistical inference techniques to analyze sea shipment network flow data and disruption data (3
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or more of the following areas o Poroelasticity o Mathematical biology o Mesh generation from experimental data • Excellent communication and organisational skills. • The ability to work
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College London. This position is part of the Cardiovascular Digital Twin network consisting of 15 fellowships across Europe (CDTnet ), funded by the European Research Council’s MSCA programme. As a world
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at all career levels researching related themes in the Public Opinion Research Network and the Centre for Behavioural, Experimental and Action Research. The position also comes with its own budget
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expertise. Demonstrated ability to work independently and collaboratively, applying sound judgement to research activities and providing informed advice and recommendations. A developing network of academic