58 machine-learning Postdoctoral positions in France

Post-Doctoral Researcher in Machine Learning

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

Postdoc in Machine Learning for Precision Oncology

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

Postdoctoral Position in Systems Biology of Cancer Group Machine learning for multi-modal cancer data analysis (M/F)

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

Postdoc M/F MACHINE LEARNING AND AUTOMATED INTERPRETATION OF GEOLOGICAL STRUCTURES

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

M/W postdoctoral position in large-scale molecular simulations, machine learning, and statistical mechanics

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

Postdoc (M/F) in Physics-Informed Machine Learning for EEG neuroscience data

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

Machine Learning and Climate Extreme Postdoc (M/F)

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

POSTDOC : Contribution of Artificial Intelligence and Machine Learning Tools in the Selection of Tribological Coatings for E-Mobility

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

M/W postdoctoral position in large-scale molecular simulations, machine learning, and statistical mechanics

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

Postdoctoral position in Computer-Aided Drug Design

-based drug design Machine learning Molecular dynamics HTS data and SAR analysis Communicate with project teams and other departments: Interact with other experts in the project in various experimental