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human cohorts would be a plus. Minimum level of training and/or experience required : Doctorate in Computer Science on a topic related to machine learning or deep learning Research FieldComputer science
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sequencing), three hospitals (each having a vast biobank of lung cancer clinical samples) and a computational group in machine learning for precision oncology. The postdoc will report directly to the leader
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omics tumor profiles, and proceed by sophisticated machine learning approaches as well as biological network modelling. At Institut Curie our situation is ideal to pursue these goals, since the choice
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approach and framed as a continuous improvement process, and (3) on machine learning algorithms guided by theory and analogues from natural objects and simulations. The proposed position will cover four
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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of learning dynamic systems and physically informed neural networks (PINNs), for application to neuroscience research. The main task of the postdoctoral fellow will be to develop models for modeling
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approaches for multivariate Climate Extremes modelling. To identify and exploit applications of Machine Learning to extreme values. To produce scientific material (papers/articles, conferences, seminars
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
Infrastructure? No Offer Description The project aims to leverage the use of artificial intelligence (AI) tools and machine learning (ML) to facilitate decision-making regarding the selection of coatings
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Infrastructure? No Offer Description We are looking for a highly motivated and talented postdoctoral candidate with interests in molecular simulations, machine learning, and statistical mechanics for research
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning