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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and
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learning on graphs, including knowledge graphs, social and biological networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods
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funded by the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts
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as well as collecting and analysing NMR data for protein structure, interactions and dynamics. The project is shared with the group of Haribabu Arthanari at Harvard Medical School. You will have many
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. This “dream team” brings together esteemed researchers with proven expertise and a strong history of collaboration. Under experienced and dynamic leadership, the partners were selected for their scientific and
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: Conceptualisation and theoretical development of spatiotemporal optimisation of biodiversity dynamics during recovery. Synthesising and modelling and species pools and biodiversity patterns given different
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networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods on networks. The aim will be publishing several research papers at top-tier
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single-photon sources emitting in high-dimensional space for use in quantum information technologies. The research will be conducted in accordance with the research program of project “Dynamic Quantum
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dynamic and supportive research environment. The opportunity to engage in groundbreaking intervention research and contribute to impactful work in community psychology. Opportunities for professional
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and validation. You will be joining a strong team that works within the following domains: Dynamic turbine response modelling in the multi-body framework HAWC2 Aero-servo-hydro-elastic stability