Differences

This shows you the differences between two versions of the page.

--- internships [2025/11/26 08:08] – [Internship proposals 2025-2026] respai-vic
+++ internships [2025/12/08 13:29] (current) – [Internship proposals 2025-2026] respai-vic
@@ Line 63: / Line 63: @@
 =============== Internship proposals 2025-2026 ===============================================
+**<color #e32d2d> - Unified Vision Encoders: Multi-Teacher Distillation and Dynamic Transformers (valeo.ai) </color>**
+  * Host: valeo.ai (Paris), research lab on ML & CV for automotive.
+  * Topic: Distill multiple large vision encoders (e.g., Franca, SigLIP 2, VGGT) into one versatile transformer backbone.
+  * Objectives: Design multi-teacher distillation pipelines for heterogeneous teachers; Develop dynamically scalable transformers (conditional depth / compute modes).
+  * Profile: Final-year MSc (or equivalent) in ML / CV; Strong deep learning + PyTorch skills.
+  * Practical: 6-month research internship (2025–2026), located in central Paris.
+  * [[https://drive.google.com/file/d/1bYUb1l9C8b-Y8iGqpsBhrCLCk20du5X-/view?usp=sharing|link to the proposal]]
+**<color #e32d2d> - Software Engineer en technologies web et IA (GE HealthCare) </color>**
+The Software Engineer will join GE HealthCare's Advanced Visualization (AV) organization, dedicated to shaping the future of medical imaging through innovative web and AI technologies. This role offers the opportunity to integrate into a Scrum development team, focused on collaborative, cutting-edge projects like AI DREAM, which drives the creation of automated diagnostic and follow-up solutions. The engineer will contribute to the full-stack development of advanced components, critical functionalities in medical imagery, and define the architecture for algorithmic pipelines in computer vision. Ideal candidates possess proven expertise in computer vision, deep learning, client-server/web topologies, and proficiency in languages including TypeScript, CSS, HTML, and C++. [[https://drive.google.com/file/d/1hirsZOdS1iszWVMhJdG_ded2vpFvF6fS/view?usp=sharing|link to the proposal]]
 **<color #e32d2d> - 2026 summer internships and Full-time positions in computational photography at Adobe </color>**
 Colleagues,
@@ Line 205: / Line 218: @@
   * Open-Vocabulary Zero-Shot Co-Segmentation with Vision-Language Models [[https://drive.google.com/file/d/18mflqhnZFkbC2dx-NqGYAoZ2iCIEaT7e/view?usp=sharing|link to the proposal]]
   * Exploring Memorization in Generative Models via Large-Scale Image Retrieval [[https://drive.google.com/file/d/18U-WhQFV7nfeAhD1NaMaBucgdEsh-yrC/view?usp=sharing|link to the proposal]]
+**<color #e32d2d> Research in Graph-Machine Learning applied to logistic </color>**
+**Location:** full-remote
+**Contact:** theophile@monoceros-sas.fr
+**Duration:** 4 to 6 months, depending on the student’s availability
+**Organisations:** Monoceros SAS, Unicef
+**Project Objectives:** Optimization of UNICEF's Supply Chain in Madagascar with data collected by the Monoceros SmartM system and modelled using Graph-Machine Learning algorithms. This project aims to explore and exploit graph-oriented database technologies (Graph-DB) and Graph- Machine Learning (Graph-ML) algorithms to optimize logistics and strengthen the resilience of UNICEF's supply chain in Madagascar.
+[[https://www.dropbox.com/scl/fi/zytyawg7yc6x6eyvztbp3/Stage-Data-Science-EN.pdf?rlkey=ja38w6lt3n69g6eki0757i12i&dl=0|link to the proposal]]
 =============== Internship proposals 2024-2025 ===============================================