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in physics-informed machine learning, surrogate modelling, generative AI, or design optimisation would be desirable. An entrepreneurial mindset and a willingness to build commercial acumen alongside
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experimental optimization, structure–performance analysis, and/or mechanistic investigations. Familiarity with machine learning techniques, optimization algorithms, and data-driven approaches for materials
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strengths in applied mathematics, statistics, data science, dynamical systems, probability, machine learning, and mathematical modeling, the department provides an exceptional environment for researchers
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to learn new methods and domains and to transfer approaches across them. The role centers on developing modular, acquisition-aware AI foundation models and applying them to large-scale scientific and
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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of energy forecasting and optimisation algorithms using artificial intelligence, machine learning and probabilistic forecasting to estimate renewable energy generation, electricity consumption and the
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insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi-omics data
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
and Objective: Tabular and Time-series foundational models have become very popular due to their high accuracy relying solely on In-Context Learning (ICL) [3, 4]. However, one still requires training
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data analytical models to integrate spatial single-cell genomics and bulk (epi)genomics. Candidates with expertise in machine learning approaches for integrating WES and RNA-seq data, including somatic
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machine learning, including applications to global analyses, as well as quantum information, and real-time classical and quantum simulation. For more information, please consult https