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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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presentation of results Your profile Masters, Diploma or equivalent degree in in a scientific field (e.g. biology, chemistry, physics) or related subject (i.e. Pharmacy, Food Technology) Experience in a
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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. Further
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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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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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. 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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. 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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. Collaborate closely with an experimental enzymology PhD student to validate your models in the lab. This is an excellent opportunity to contribute to the future of enzyme engineering, bioinformatics, and
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: Master’s degree or equivalent in Neuroscience, Biology, Biomedical engineering, Life sciences, or a related field Experience with electrophysiological recording or neuroimaging would be beneficial
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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