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Towards design of protein knottin using deep learning

Towards design of protein knottin using deep learning

Oct 10, 2024 | 2024, Biology, diiP, Masters Internship

2024 Master’s Projects@Biology #Transformers network finetuning#Structural bioinformatics#Protein/peptide prediction interaction#Knottin  Project Summary The Project explores the design of protein knottins to target P-selectin and integrins involved in...
Compact representations to detect gravitational waves from extreme-mass ratio inspirals

Compact representations to detect gravitational waves from extreme-mass ratio inspirals

Oct 10, 2024 | 2024, diiP, Masters Internship, Physics/Astronomy

2024 Master’s Projects@Physics/Astronomy #Gravitational waves#extreme-mass ratio inspirals#data representations#neural networks  Project Summary Extreme Mass Ratio Inspirals (EMRIs), detectable only by the future space-based detector LISA, provide a unique...
Biomarker prediction from images of histological slides of cancerous tissues using modern AI techniques: comparisons of different neural architectures

Biomarker prediction from images of histological slides of cancerous tissues using modern AI techniques: comparisons of different neural architectures

Oct 10, 2024 | 2024, diiP, Masters Internship, Medicine

2024 Master’s Projects@Medicine #Digital Pathology#Transformer  Project Summary Our project involves linking digital pathology and the genomic analysis of tumors, particularly for immunotherapy applications. These images are very large and have multiple...
Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

Oct 10, 2024 | 2024, diiP, Masters Internship, Physics/Astronomy

2024 Master’s Projects@Physics/Astronomy #diffusion models #image processing #deconvolution   🎉This project has been accepted at the ML4Physics workshop at NeurIPS! Project Summary This project tackles the problem of deconvolving astronomical images to...
Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images

Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images

Oct 10, 2024 | 2024, diiP, Masters Internship, Mathematics/Statistics

2024 Master’s Projects@Mathematics/Statistics #hyperspectral imaging#atmospheric monitoring#earth observation#deep learning  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline No...
Blind Image Deblurring via Latent Diffusion Models

Blind Image Deblurring via Latent Diffusion Models

Oct 10, 2024 | 2024, diiP, Masters Internship, Mathematics/Statistics

2024 Master’s Projects @Mathematics/Statistics #blind deblurring#diffusion models#deep learning#statistics  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline No Results Found...
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