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: - skills in the following areas: Bioinformatics, Data science, Optimization, Machine Learning - a demonstrated interest for biology. Knowledge of DNA replication mechanisms will be appreciated
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., Nature Communications (2020) 11:4691] based on an analysis of local atomic environments using “machine learning” methods (MiLaDy). In parallel with this analysis of the database, and to have a better idea
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-dimensional Euclidean spaces - Machine learning - Distributed computing - Complexity (communication, queries, memory) - Continuous optimization The specific topic can be refined based on the candidates' skills
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(Project IRP INANOMEP of the CNRS, France-Belgium). The synergy between non-linear optics, theoretical chemistry, and machine learning gives a pronounced interdisciplinary character to the project
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. Fujii, K. & Nakajima, K. Harnessing disordered-ensemble quantum dynamics for machine learning. Phys Rev Appl 8, 024030 (2017). 2. Rudolph, M. S. et al, Generation of High-Resolution Handwritten Digits
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at EM2C lab, which consists in introducing virtual species and reactions whose thermodynamic and chemical properties are optimized by machine learning algorithms to retrieve properties of reference flames
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, deep learning-based image methods have emerged as a prominent tool in medical image processing. While they have shown impressive success in various computer vision tasks, their application in the medical
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materials using online sensoring, machine learning and digital decision-making tools This PhD offer (PhD 13) is part of the 15 PhD contract proposals related to the European CESAREF project (www.cesaref.eu
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physics or computer science, with a solid background in AI/machine learning techniques. A background in plasma transport phenomena as well as an experience with data analysis, statistical methods, and
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design, and innovative computer architectures. Our research interests range from the study of fundamental phenomena to the design of new devices with potential for technological applications in information