6 machine-learning scholarships at Inria

PhD Position F/M PhD position F/M : Machine learning for 3D cryo-electron

biophysical parameter estimation. The thesis we propose is at the frontier of applied mathematics, image processing/analysis, machine learning, and computer science. The goal is to develop generic image

PhD Position F/M Efficient Deep Learning (IDP 2024)

optimize the training and inference of modern deep learning architectures. Potential applications will include, but not be limited to, computer vision, natural language processing, climate, etc. References

PhD Position F/M Campagne doctorant 2024 - Emergence of mesoscale

cluster computer system to realize big-data analysis and simulations. Mission confiée Context of the project Artificial Intelligence (AI) and especially Deep Learning (DL) have undergone many successes in

PhD Position F/M Developing a deep learning framework to design cyclic

to inhibit the PPI formed between RBD and ACE2 is a very active field of research [5]. Moreover, the recent advances of machine learning and deep learning in the CASP competition and the outbreak of AlphaFold2

PhD Position F/M Trustworthy AI hardware architectures

, still energy efficient. Compétences Required technical skills: Good knowledge of computer architectures and embedded systems Machine Learning (pytorch/tensorflow) HW design: VHDL/Verilog basics, HW

PhD Position F/M Enhancing AI-driven Predictive Analysis in Dynamic Contact

network management and efficiency. Methodology The research plan considers a range of Machine Learning (ML) solutions to address the challenges of predictive analysis in dynamic contact networks