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developer to lead the development of software to facilitate genomics analysis at scale. Foundationally, this position will work on writing (or rewriting) tools that underpin the genomics ecosystem in Rust
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
democratic resistance coalitions are constituted across scales (local, national, transnational), and how they work and interact in practice to shape the contemporary authoritarian challenge in diverse contexts
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Description A tender is hereby opened for the award of 1 (one) Research Grant (RG) under Reborn - "Full human-based multi-scale constructs with jammed regenerative pockets for bone engineering", AdG 883370
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responsible leadership experience in leading enterprise information technologies. Demonstrated experience leading multiple, large, cross-functional teams or enterprise-scale initiatives. Multi-year experience
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motivated graduate looking to apply your skills and curiosity to create a greener transportation industry. With your pioneering mindset and communicative nature, you thrive in complex multi-disciplinary teams
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, workstation capacity for geophysical and remote sensing data interpretation and GIS; 2D multi-scale petrographical imaging and 3D-4D X-ray CT imaging facilities and a wide range of world leading experimental
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(SCIRC) at the University of Florida (UF). The successful candidate will have a unique opportunity to contribute to large-scale clinical studies and to apply and develop state-of-the-art analytical methods
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outstanding communication skills (written, verbal, interpersonal). Must be able to effectively multi-task and manage large scale programming. Must possess high attention to detail and have a strong customer
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), if possible at large scale user facilities Experiences in science management, ideally gained in a publicly funded environment Strong project management competences Ideally, didactic knowledge and experience
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metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods