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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
. Website for additional job details https://sites.google.com/view/scramble-project Work Location(s) Number of offers available1Company/InstituteDepartment of Fluid MechanicsCountrySpainState
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine
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that the department has the supplies necessary to perform daily functions. Position Summary The storekeeper 2 plans, orders, organizes, schedules and performs storeroom work in the receipt, storage and distribution
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/post-doc-assignments/department-mathematics-ca
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE E TECNOLOGIE AGRO-ALIMENTARI | Italy | 22 days ago
innovative policy interventions for the protection of water, soil, and biodiversity; • the analysis of the impact and performance of a selected set of measures, including through simulation tools
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clinical approaches, including: Histopathology and digital pathology (whole-slide imaging, WSI) Quantitative analysis of the tumour immune microenvironment AI-based image analysis, machine learning and deep
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mentoring students as part of a distributed team. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5108-AZAMOR-006/Default.aspx Work Location(s) Number of offers available1Company
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(PROINTE-SP), one of the SCDs in São Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. The research aims to develop technologies for data management and analysis capable
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models