PhD thesis Deep learning for assisting clinical decisions in brain imaging: trustworthy validat[...]
il y a 2 semaines
Intitulé du poste : PhD thesis Deep learning for assisting clinical decisions in brain imaging: trustworthy validation and benchmarkingType de structure : You will work within the ARAMIS lab at the Paris Brain Institute, one of the world top research institutes for neurosciences. The institute is ideally located at the heart of the Pitié-Salpêtrière hospital, downtown Paris.The ARAMIS lab, which is also part of Inria (the French National Institute for Research in Computer Science and Applied Mathematics), is dedicated to the development of new machine learning and statistical approaches for the analysis of large neuroimaging and clinical data sets.Contexte et mission : This PhD project aims at obtaining a general methodological and experimental framework for trustworthy and reproducible validation and benchmarking of deep learning methods in brain imaging and performing large-scale experiments.Specific objectives are as follows:- Enrich the framework with more advanced deep learning models, more tasks and more datasets- Better account for specificities of brain imaging (multiple acquisitions over time, multiple scanners, multiple hospitals, multiple datasets, multiple disorders)- Propose an adequate inferential statistics framework for both model validation and model comparison- Perform benchmarking experiments across deep learning (and also standard machine learning) models, tasks, diseases and datasets to create a new standard for the community- Demonstrate the importance of accounting for brain imaging specificities when evaluating models- Implement the approaches in open-source software, in particular ClinicaDL so that they can benefit the entire scientific communityDiplômes requis : Master or engineering degree with a specialization in machine learning.Compétences requises : Excellent background in machine learning, Excellent programming skills in Python, Strong interest for experimental aspects of machine learning, Good background in statistics, Knowledge of the specificities of computer vision and medical image processing would be a plus, Good writing skills, Good relational and communication skills, Ability to collaborate efficiently with other team members. #J-18808-Ljbffr
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Paris, France France Life Imaging Temps pleinType de structure : Paris Cardiovascular Research Center, Inserm U970, 56 rue Leblanc, 75015 ParisLab head: Professor Bertrand Tavitian / Head of PARCC-Inserm U970 : Alain TedguiEnvironment: PET-CT Mediso nanoPET; Bruker 4.7 T MRI; Supersonic Imagine Aixplorer; Animal facilities, software and computing power. RadiologyStaff: PARCC = 280, Radiology Dept = 80,...
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Senior Research Scientist
il y a 5 jours
Paris, France Karavela Temps pleinContext Karavela is a neuroscience research company established in 2025 and currently based in Paris, France. We build a foundation model of the human brain relying on nextgeneration magnetic resonance. To do so, Karavela is collecting a very large MRI dataset from healthy volunteers listening to naturalistic stimuli (e.g., audiobooks, podcasts, radio...
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Engineer Development of Ai for Mri Segmentation
il y a 2 semaines
Paris 13e, France Institut du Cerveau et de la Moelle Épinière Temps plein**Paris Brain Institute (ICM) is recruiting a**: **_Engineer Development of AI for MRI segmentation (M/F) _** **_As soon as possible _** **_18 months (renewable) _** **_A Paris 13ème _** - The Paris Brain Institute (ICM) is a private foundation recognized as being of public utility, whose purpose is _ - fundamental and clinical research on the nervous...
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il y a 2 semaines
Paris, France Institut du Cerveau et de la Moelle Épinière Temps pleinProject Manager - Deep Brain Stimulation (F/H)About the RoleThe Paris Brain Institute seeks an exceptional Project Manager to lead coordination of our groundbreaking Deep Brain Stimulation (DBS) collective project. This role offers a unique opportunity to shape the future of neuroscience by managing a cutting-edge research initiative that brings together...
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Paris, France France Life Imaging Temps pleinAperçu Type de structure : A postdoctoral position in multiparametric hepatic MRI is currently available at the Laboratory of Imaging Biomarkers in the Center of Research on Inflammation UMR 1149 INSERM - University Paris Diderot. The Center for Research on Inflammation Research, Inserm unit UMR1149, was created in 2014 and is distributed on the Bichat and...
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Paris, France GenBio AI Temps pleinResearch Scientist (AI) – Biomedical ImagingResearch Scientist (AI) – Biomedical Imaging1 week ago Be among the first 25 applicantsThis range is provided by GenBio AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$100,000.00/yr - $300,000.00/yrHeadquartered in Silicon Valley, we are...
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il y a 2 semaines
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il y a 7 jours
Paris, Île-de-France Raidium Temps pleinAbout Raidium Raidium is developing the most advanced radiological LVLM (Large Vision Language Model); The first version of our Foundation model, Curia, is now the state-of-the-art copilot of the new generation of radiological image manipulation software. The internship - Foundation model adaptation for Multiple SclerosisMultiple Sclerosis (MS) is a...
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il y a 7 jours
Paris, France Doctolib Temps pleinOutpatient care is central to healthcare systems, with general practitioners and specialists Research focus. The extensive real-world data captured by private practitioners — consultation reports, imaging, referral letters, prescriptions, and lab results — offers a unique opportunity to explore how large language models (LLMs) and generative approaches...
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il y a 1 semaine
Paris, France Nabla Temps pleinContext Karavela is a neuroscience research company established in 2025 and currently based in Paris, France. We build a foundation model of the human brain relying on nextgeneration magnetic resonance. To do so, Karavela is collecting a very large MRI dataset from healthy volunteers listening to naturalistic stimuli (e.g., audiobooks, podcasts, radio...
