528 machine-learning-phd positions at PhD Programme "Gene Regulation in Evolution" in France

Postdoc position in Machine Learning for Integrative Genomics

spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The

PhD Position : Planning of distributed renewable energy systems with machine learning

objective will be to develop algorithms for predicting and planning the evolution of local energy systems (microgrids) over a time horizon of several years, using machine learning and numerical optimization

PhD contract: characterization of volcanic processes using continuous seismic data analysis and machine learning (M/F)

: - Apply unsupervised machine learning concepts to the analysis of continuous seismograms recorded in the vicinity of active volcanoes, in order to extract information about the state of the volcano and the

PhD offer - Development of a physiological model-based analysis and machine-learning approaches for risk stratification in hypertrophic cardiomyopathy

mechanical activity at the same time. In this context, the use of mathematical models and machine learning methods can be relevant to integrate physiological knowledge in data analysis and to analyze

Funded PhD offer: Functional reading of moving texts applied to the ergonomics of digital learning tools.

Infrastructure? No Offer Description Project title: Functional reading of moving texts applied to the ergonomics of digital learning tools. Subject: As part of the SciCoNum project, and in partnership with

PhD Position F/M Machine learning for efficient bimodal EEG-fMRI

available1Company/InstituteInriaCountryFranceGeofield Where to apply Website https://illbeback.ai/job/phd-position-f-m-machine-learning-for-efficient-bimoda… STATUS: EXPIRED

Development of a hybrid machine learning model for predicting response to cardiac resynchronization therapy

, integrating machine learning and physiological computational models (patient digital twin) to: 1) combine physiological knowledge and clinical data; 2) improve model interpretability; and 3) minimize

Three-year PhD position in Development of interactive expert software stratifying the risk of lung cancer diagnosis in the setting of lung cancer screening based on mathematical modeling and machine

statistics Excellent background in statistical/machine learning Experience in computer vision is a plus Strong motivation for medical and societal applications of computational methods Knowledge of biology and

PhD Thesis (M/F) Transverse Santé : Deep learning approaches for the analysis of NMR spectra applied to schizophrenia

in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges

Researcher in " Spatial High-resolution Climate Downscaling through Generative Machine Learning" (M/F)

The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc