PhD position in Self-Supervised Learning for Anomaly Detection in Medical Neuroimaging
il y a 2 jours
Type de structure : We offer a stimulating research environment gathering experts in Image processing, Neurosciences & Neuroimaging, Advanced Statistical and Machine Learning methods from CREATIS, Grenoble Institute of Neurosciences (GIN) and INRIA. The PhD position is granted by the “Défi IA” program sponsored by la Région Auvergne Rhône-Alpes.The position is available in the framework of DAISIES project.Contexte et mission : Scientific contextThe vast majority of deep learning architectures for medical image analysis are based on supervised models requiring thecollection of large datasets of annotated examples. Building such annotated datasets, which requires skilled medical experts,is time consuming and hardly achievable, especially for some specific tasks, including the detection of small and subtle lesionsthat are sometimes impossible to visually detect and thus manually outline. This critical aspect significantly impairsperformances of supervised models and hampers their deployment in clinical neuroimaging applications, especially for brainpathologies that require the detection of small size lesions (e.g. multiple sclerosis, microbleeds) or subtle structural ormorphological changes (e.g. Parkinson disease).OBJECTIVE AND RESEARCH PROGRAM :To solve this challenging issue, the objective of this thesis is to develop and evaluate deep self-supervised detection andsegmentation approaches whose training does not require any fine semantic annotations of the anomalies localization. We willexplore different categories of self-supervised methods, including: novel unsupervised auto-encoder based anomaly detectionmodels leveraging on the recent developments in visual transformers blocks (ViT) or vector quantized variational autoencoders(VQ-VAE), scalability of Gaussian mixture models as well as weakly supervised models based on scarce annotations.Key words: Machine learning, Deep Learning; Multidimensional data, Segmentation, Neuroimaging, Self-supervised learning,Anomaly detection, Unsupervised representation learningStarting date: Autumn 2022How to apply: Send an email directly to three supervisors with your CV and persons to contact. Interviews of the selectedapplicants will be done on an ongoing basis. Applications will be accepted up to the 30st of June.Lieu : Location: Grenoble Neurosciences Institute: https://neurosciences.univ-grenoble-alpes.fr & CREATIS - Villeurbanne: https://www.creatis.insa-lyon.fr/. Time sharing in the two laboratories will be discussed with the selected candidates.Contact : The PhD candidate will be co-supervised by: - GIN - team «Functional neuroimaging and brain perfusion»: Michel Dojat (michel.dojat@inserm.fr), - CREATIS - team Myriad : Carole Lartizien (carole.lartizien@creatis.insa-lyon.fr) - INRIA - team Statify: Florence Forbes (Florence.forbes@inria.fr) #J-18808-Ljbffr
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Grenoble, France France Life Imaging Temps pleinType de structure : Localization: Equipe Mistis Inria Grenoble (http://www.inria.fr/equipes/mistis )The candidate will be based mainly at INRIA team Mistis in Grenoble, France.The work is jointly supervised with CEA Saclay NeuroSpin near Paris and regular visits to this partner are expected.Starting date: as soon as possible, October 2016 by the...
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Postdoc: Graph Neural Nets for Brain Robustness
il y a 2 jours
Grenoble, France France Life Imaging Temps pleinA research organization in France is offering a post-doc position focusing on the weaknesses of deep neural networks, particularly in medical applications. Candidates with a PhD in Neurosciences or related fields, and experience in machine learning are encouraged to apply. This role will involve collaboration with experts in Neuroimaging and Statistical...
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PhD position
il y a 2 jours
Grenoble, France Karlstad University Temps pleinPhD position - Multiscale Hydromechanics of root growth in soils Scientific context: Growing roots of plants constitute typical cases of living organisms able to forage the soil by adapting to the environment, avoiding obstacles, and following some attractors as gravity, water or nutrient gradients. Beyond the scientific challenge to understand,...
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PhD position
il y a 2 jours
Grenoble, France Karlstad University Temps pleinSelect the region that best fits your location or preferences.This setting controls the language of the user interface, including buttons, menus, and all site text. Select your preferred language for the best browsing experience.Select the languages for job listings you want to see. This setting determines which job advertisements will be displayed to
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Post-doctoral position in Medical Image Processing
il y a 2 jours
Grenoble, France France Life Imaging Temps pleinOverviewContexte et mission : The Computer-Assisted Medical Interventions (CAMI) team of the TIMC laboratory (Grenoble, France) is looking for a highly motivated postdoctoral candidate with a strong background in medical image processing (registration and segmentation) and experience in deep learning approaches with a focus on ultrasound imaging. The...
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PhD position
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Grenoble, France Karlstad University Temps pleinPhD position - Unraveling the physical mechanisms of bacterial aggregation in biofilm initiation Context: Bacteria spend most of their life attached to surfaces, in structured colonies encased in a self-produced polymeric matrix called biofilms, which are the prevalent form of life on earth. The organization in biofilms confers them a selective advantage...
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Grenoble, France Schneider Electric Temps pleinA leading energy management company in Grenoble is seeking a research intern focused on developing digital learning materials in the field of electricity. The internship aims to prepare a CIFRE PhD thesis, emphasizing human learning processes and AI integration. Successful candidates will have a Master's degree in a relevant field and strong multimedia...
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PhD position
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Grenoble, France Karlstad University Temps pleinPhD position - X-Ploring Snow: 4D exploration of the ductile-to-brittle transition in snow Context: Gaining a better understanding of the mechanical behaviour of snow is crucial for numerous applications, including avalanche forecasting and risk management, modelling the evolution of seasonal snowpack and polar firn, and predicting the loads induced by the...
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Grenoble, France France Life Imaging Temps pleinType de structure : Four postdoctoral research positions are available in the framework of the DFG-ANR funded project fMEG-OPM (PIs Prof. Etienne Labyt, Dr. Mahdi Mahmoudzadeh, Prof. Hubert Preissl, Prof. Fabrice Wallois). This DFG-ANR project opens up a wide range of opportunities to the successful candidate. The successful candidate will benefit from a...
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R&D Engineer Position – SWIR Detection in 2P
il y a 2 jours
Grenoble, France France - BioImaging Temps pleinR&D Engineer Position – SWIR Detection in 2P & Wide-Field MicroscopyOrganization: Institute for Advanced BiosciencesDuration: 12 months (starting end of 2025, flexible)About the projectYou will join the ANR project MAGELLAN (Multiplex imaging of live cells with luminescent lanthanide bioprobes), which aims to develop the deep functional multiplexed imaging...
