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submitted via https://recruitment.irbbarcelona.org no later than 22 May 2026, quoting reference GL/26/01 (Chemical Biology) or GL/26/02 (Structural Biology). The successful candidates are expected to join
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-structured data. The ability to translate abstract mathematical concepts into intuitive frameworks and analogies, creating interpretable models and clearly explaining complex results to an interdisciplinary
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complex calculated fields and advanced report logic, including conditional calculations, data transformations, and cross-object reporting structures. Strong understanding of enterprise data governance and
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 4 days ago
Linux environments and the use of version control systems (Git). Familiarity with handling and processing large volumes of data, complex data structures, and workflow automation is desirable. Experience
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 9 days ago
demonstrated a quantitative correlation between the molecular photoswitch properties and the photomechanical effect.1 In addition, material structuration plays a crucial role both at the supramolecular scale
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restructuring, improving business efficiency, leading on employee relations, supporting the resolution of complex casework and/or mitigating any potential risks to the College and/or University. Ensure positive
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develop learning-enabled and perception-driven robotic systems that operate in complex, unstructured environments, with particular focus on: 1) Robot learning and embodied AI; 2) Multimodal perception and
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quantitative and qualitative research projects, including forecasting and trend analyses related to student and institutional data. The position transforms complex data into actionable insights through
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, decisions, and next steps – and ensure they are followed through. Organize and facilitate follow-up meetings with stakeholders and partners. Bring structure and overview, even in complex or evolving
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for architecting Northeastern University's transition from legacy data structures to a modern, scalable, AI-ready data architecture. This role conducts deep assessments of existing systems-including Banner, Workday