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- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO"
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knowledge of Python programming. Experience with the Django framework. Understanding of object-oriented programming principles. Knowledge of HTML5, CSS3, JavaScript, and Bootstrap. Experience with SQL
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Theory, Optimal Transport Theory, Topology, Machine Learning Theory, High-dimensional Computational Geometry, Statistical Learning Theory and Statistical Inference. (2) Computing Theory for AI: Programming
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scale Demonstrated experience conducting simulations on high-performance computing clusters, including scheduling systems, parallel scaling and the management of large numbers of concurrent jobs
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at comparing traditional and automated synthetic protocols using the FLEX ISYNTH platform, evaluating its performance in terms of reagent dispensing automation, parallel reaction execution, product
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on the use of visual materials collections in exhibits and programming; Provide guidance and assistance to other USC Special Collections libraries and colleagues on visual material projects. Function
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element models. The activities will include the implementation and optimisation of simulation codes, including on parallel architectures and on the high-performance computing infrastructure of the
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biology Programming for NMR data analysis or methodological development Research Environment In order to be eligible for consideration, applicants should submit the following materials via Interfolio
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Eligibility criteria Master's degree or single-cycle degree in Astronomy and Physics, or an equivalent qualification obtained abroad. Proficiency is also required in Python programming, environments for
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biology Programming for NMR data analysis or methodological development Research Environment In order to be eligible for consideration, applicants should submit the following materials via Interfolio
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Consiglio Nazionale delle Ricerche-Istituto di Calcolo e Reti ad Alte Prestazioni | Napoli, Campania | Italy | 28 days ago
, and Data Mining techniques; Data preprocessing, feature selection, classification, and clustering; Programming languages and libraries for developing machine learning and deep learning applications