43 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Nature Careers in Germany
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The quantum technology group at the University of Rostock is presently looking for a new PhD student (m/f/d) to join our team. The person hired shall spearhead a line of research aiming to turn
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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of Medicine A - Hematology, Oncology and Pneumology. The UKM is one of the leading university hospitals in Germany and provides a perfect environment for translational research. The PhD candidate will be part
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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validation, and regulatory reporter assays. Learn more about the group here . YOUR MISSION: Investigate how genetic variants affect male reproductive function Perform single-nucleus and bulk RNA sequencing
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven
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position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting January 1, 2026. The position is initially
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Functionality, Implementation and Demonstration is currently searching for the second cohort of PhD candidates starting in Spring/Summer 2025. This program is an international collaboration between