20 machine-learning-phd "EURAXESS" PhD positions

PhD Candidate in Nutrition

Health Nutrition at the faculty of Health Sciences at OsloMet. The PhD candidate will also be part of the research group in machine learning at SimulaMet and the Faculty of Technology, Art and Design at

Research Assistant / Associate in Machine Learning Hardware Design

for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning

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

Research Assistant/Associate in Computational Neurology

-localisation •    You will have experience of at least one of the following analysis techniques (multiple preferred): Normative modelling, dimensionality reduction techniques, machine learning/AI, dynamic model

3-year PhD position for the development of coherent Stokes Raman scattering (CSRS) microscopy in Marseille from December 2024

these CSRS spectra by machine learning algorithms. Your mission is to set up and characterize backscattering CSRS microscopes and evaluate their functionality on cancer tissue. Your tasks will include

3-year PhD position for the development of coherent Stokes Raman scattering (CSRS) microscopy in Marseille from December 2024

. Novel spectrometer concepts, multi-focus and wide-field illumination approaches will be put in place. Precise diagnoses of cancerous tissues will be derived from these CSRS spectra by machine learning

Civil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive Evaluation

and provide a second opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning

PhD position Reinforcement learning for digital finance

for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance

Computer Science Fully Funded PhD Scholarship: Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach (Ecstatic)

and progamming skills; Knowledge of Python.; Knowledge of Bayesian statistics, machine learning, and optimisation, or a willingness to learn. This scholarship is open to candidates of any nationality

Computer Science Fully Funded Swansea University PhD Scholarship: Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML)

Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML) This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a