46 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " PhD positions at Leibniz
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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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. or comparable) in (bio-)physics, (bio-)chemistry, materials science, mechanical/(bio)chemical engineering or similar fields. Highly motivated and team-oriented Passion for multidisciplinary research and eagerness
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facilities and state-of-the-art infrastructure to study the chemical diversity, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi (https
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. or comparable) in (bio-)physics, (bio-)chemistry, materials science, mechanical/(bio)chemical engineering or similar fields. Highly motivated and team-oriented Passion for multidisciplinary research and eagerness
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relevance. This project bridges materials science, bioengineering, and cell biology, contributing to the development of advanced biomaterials for tissue engineering and disease modeling. Your profile Master’s
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CANCER (F/M/D) Starting on May 1st, 2026 (with flexibility). We have pioneered the development of synthetic tumor immune microenvironments, engineered from artificial cells that mimic immune functions
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in