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expertise in training deep learning models and tuning large foundation models. Expertise with developing efficient data loaders for large datasets and optimizing training workflows. Deep knowledge
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modeling of historical controls, as well as machine learning, data science, and epidemiological studies based on large SCI datasets. This is an excellent opportunity to contribute to translational research
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                Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 6 days ago
large scale simulations the amount of data produced can be overwhelming and the execution time too long, calling to resort to supercomputers and High Performance Computing (HPC). To optimize performance
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(Student Position) Location: Big Rapids, MI 49307 Department: Student Services Advertised Salary: $12.48- $13.24 Summary of Position: The Clerical General Level I position will consist of office work and
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Description 50%: Research and Data Analysis - Designs, conducts, and leads research projects focused on climate-smart agricultural practices integrating remote sensing, soil and crop modeling, and greenhouse
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Information Flow and Prioritization • Anticipate needs before they arise — calendar conflicts, deliverable deadlines, missed handoffs. • Create systems to track key priorities, meeting outputs, and
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17 Oct 2025 Job Information Organisation/Company Echemlabs Research Field Chemistry » Heterogeneous catalysis Chemistry » Physical chemistry Researcher Profile Established Researcher (R3) Positions
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will include identifying and managing practical issues in handling large datasets, and collecting data and undertaking appropriate analysis of data. Informal enquiries can be addressed to Prof. Stefan
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patient care goals. The Assistant Director of Operations provides analytical data, participates in decision making, and develops operational policies, fee structures, and workflow processes to support long
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issues in handling large datasets, and collecting data and undertaking appropriate analysis of data. Informal enquiries can be addressed to Prof. Stefan Piechnik - stefan.piechnik@cardiov.ox.ac.uk For more