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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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) at the Department of Biology at Aarhus University. Key international associates to ECONOVO will also be involved. ECONOVO and ECOINF form a cooperative, interdisciplinary research network with extensive international
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, mentoring, research dissemination, networking, manuscript drafting etc. Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications
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network of academic and industrial partners. We are a team specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be
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well as industrial stakeholders. A research culture that encourages open dialogue, innovation, and critical thinking across fields. A collegial and inclusive workplace with networking activities, knowledge sharing
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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Job Description A 2-year postdoctoral researcher position is available at the University of Southern Denmark (SDU) in the Software Engineering section of the Maersk Mc-Kinney Moller Institute (MMMI
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gene regulatory networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome
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resolution, to elucidate function and phenotypic variability, to achieve whole-cell understanding of how gene regulation, cellular networks, and physiological processes converge to drive metabolic dysfunction