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+title: 📢 Open 4-year PhD Position in Deep Learning for Bioimage Analysis!
+date: 2025-09-30
+authors: ["Fadi Dornaika", "Ignacio Arganda-Carreras"]
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+  focal_point: 'center'
+---
+
+The **Computer Vision and Pattern Discovery (CVPD) group** at the **University of the Basque Country (UPV/EHU)** is offering a **fully funded 4-year PhD position** within the recently awarded project **TOSBI: Towards Scalable and Generalized Solutions in Biomedical Images**, supported by the Spanish State Agency for Research (AEI).  
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+
+---
+
+### 🎯 About the PhD Project  
+
+The doctoral research will focus on the **development of new deep learning methodologies for biomedical image analysis**, aiming to overcome key limitations such as **scarcity of annotated data, computational scalability, and model generalization**.  
+
+The selected PhD student will investigate **partially supervised learning strategies** (self-/semi-supervised, few/zero-shot learning) and the **adaptation of foundation models** to bioimage analysis tasks, including **segmentation, classification, and object detection** of cellular and tissue structures. The work will combine **state-of-the-art AI methods** with validation on real biomedical data, contributing to the creation of **robust and accessible tools for the scientific community** through platforms such as **BiaPy**.  
+
+---
+
+### 👩‍🎓 Candidate Profile  
+
+- Degree and Master in **Computer Science, Mathematics, Telecommunication Engineering, Physics, Bioinformatics, or related fields**.  
+- Skills in **scientific programming** (Python, PyTorch/TensorFlow, computer vision libraries).  
+- Good command of **English** (spoken and written).  
+- Strong motivation for **interdisciplinary research** at the interface of computer vision, deep learning, and biomedical imaging.  
+
+Additional valued merits include prior experience in AI/bioimage projects, contributions to open-source software, and participation in international collaborations.  
+
+---
+
+### 📅 Timeline  
+
+- **Call opening:** October 6, 2025  
+- **Deadline:** 3 weeks after call opening  
+
+---
+
+### 📧 How to Apply  
+
+Candidates should send the following documents:  
+
+1. Curriculum Vitae (including academic transcript)  
+2. Motivation letter  
+3. Contact details of at least one referee  
+
+Applications and inquiries can be sent to:  
+- [Prof. Fadi Dornaika](mailto:fadi.dornaika@ehu.eus)  
+- [Dr. Ignacio Arganda-Carreras](mailto:ignacio.arganda@ehu.eus)  
+
+👉 More information on PhD admissions at UPV/EHU:  
+[Doctorate pre-enrolment at UPV/EHU](https://www.ehu.eus/en/web/doktorego-eskola/doctorate-pre-enrolment)  
+
+---
+