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of experimental tasks and lead the technical set-up of the paradigms. Supported by other RAs, the PDRA will lead the collection, management and analysis of large physiological, fMRI and behavioural data sets, using
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, adapt, and effectively use large AI foundational models. Experience with distributed data systems such as Apache Spark. Expertise in analyzing large, complex, multi-dimensional datasets with various tools
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Programs, please visit: http://www.keene.edu/office/ub This is a grant-funded, 100% time 12-month position. KSC TRIO positions are contingent upon grant funding. Job Duties: Manage academic year program
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) Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs, and in analyzing complex, multi-modal data A generalist with an interest to solve challenges using a
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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models and methods to collect, summarize, analyze, and interpret trends and patterns in complex data sets. Applies statistical theories to aid in the solution of research problems. Manages multiple large
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Position Details Position Information Requisition Number Stu04895P Home Org Name Clinical Sciences Division Name College of Veterinary Medicine Position Title Student Worker - JTV Large Animal
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 14 days ago
methodological framework enabling large-scale, automated analysis of the transparency and coherence of data collection practices in mobile mobility applications. The assignments will notably include: analysing
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large caseload of study participants from study screening through end-of-study evaluations, including all necessary source documentation and data collection/entry. Establishes standard operating
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity of BaselCountrySwitzerlandCityBaselPostal CodeCH