Registration & Synthesis of 3D Multi-Modal Medical Images Université Paris-Saclay in France

Where to contact

Keywords

About this position

?? PhD Position: Graph Neural Networks for Registration & Synthesis of 3D Multi-Modal Medical Images! In collaboration CentraleSupélec , École nationale des ponts et chaussées , Université Paris-Saclay , Centre Léon Bérard , Gustave Roussy & TheraPanacea !

?? Apply now: https://lnkd.in/eWFiFgnr

?? We are looking for a talented PhD applicant to join our team and contribute to groundbreaking research at the intersection of Graph Neural Networks, 3D medical imaging, and radiation oncology.

?? What you will do: Develop an end-to-end deep learning framework for precise registration between supine and upright multi-modal 3D images.
Recover bone structures, articulate models, and apply dense deformation techniques to account for gravity-induced changes in the context of multi-modal acquisitions.

????? Qualifications: MSc/MEng in Computer Science, Applied Mathematics, Statistics, or related fields. Hands-on experience with Machine Learning / Deep Learning (e.g., CNNs, RNNs, GANs). Experience in medical imaging analysis (e.g., CT, MRI) is highly valued.

?? Eligibility: Open to all nationalities, but candidates could have spent maximum 12 months in France during the last 3 years.

?? Why Apply? This is your chance to engage in cutting-edge research, collaborate with leaders in the field, and make a direct impact on healthcare solutions.
?? Location: Paris, France (Opportunity to spend research time in top labs across Germany, Austria, Switzerland, UK, Sweden, and more).

?? Don’t miss this opportunity to shape the future of AI in healthcare!
# AI # DeepLearning # MedicalImaging # CancerResearch # PrecisionMedicine # RadiationOncology # TechForGood # PhDPosition # GraphNeuralNetworks # MachineLearning # HealthcareInnovation

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

Ask ApplyKite AI