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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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15 Jan 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions PhD
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering, Automation, or a related field, along with a minimum of two years of relevant
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position within a Research Infrastructure? No Offer Description A post-doctoral position is available for a research project focused on optimizing the restoration of Juçara Palm (Euterpe edulis) populations
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reactions at the air-water interface to unlock high-voltage reaction pathways. Your key responsibilities will be to: Lead a Flagship Project: Drive the design, execution, and optimization of plasma
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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
understanding of prior spacecraft operations to assess and determine what functions can optimally be delegated to onboard AI systems and what decisions require human inputs. The suite of possible decision making
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of results. Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC). Drive untargeted data processing workflows (feature
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on