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of computer program changes, updates, rebuilds, and super-user status. Utilizes multi-disciplinary resources to affect optimal schedules and address patient needs in a timely manner. Facilitates the flow of patients
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), and Clinical Monitoring Leads (CMLs), which includes both Full-Time Employees (FTEs) and Functional Service Providers (FSPs). The CSO develops and implements region-specific strategies to optimize trial
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requires 4 years of experience in the following: Developing and optimizing R programs using packages including dplyr, data.table, and tidyr to efficiently extract, transform, and analyze large datasets
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Nature Careers | Port Saint Louis du Rhone, Provence Alpes Cote d Azur | France | about 2 months ago
research should align with AFMB’s flagship thematic areas: virology and glycobiology. The AFMB Laboratory provides an optimal environment to bridge in silico results with experimental work. Its state
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behaviour in Luxembourg and beyond. EMUP will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with
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fermentation processes and downstream processing, chassis strain engineering, and bioprocess optimization. Extensive experience working on tech transfer from lab-scale to pilot and commercial
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communication. Support development of presentation materials, documents, etc. for departmental stakeholders. Provide inputs for optimization of standardized/pre-described business requirement gathering in
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of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action. Lead the development and implementation of data-driven solutions using advanced analytics and
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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resources, funding, and mentorship Your Responsibilities: Lead the design, development, and optimization of scalable AI inference pipelines Implement and experiment with LLMs, GNNs, multi-modal AI, and vision