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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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environments – all impacting disease transmission. Cost-Effective Solutions: You’ll evaluate potential interventions – combining resource-use and intervention-costs, considering cost-effectiveness, user
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resilient horticulture. The IGZ conducts research at the interface between plants, humans and the environment. In doing so, we address systemic and global challenges such as biodiversity loss, climate change
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. Their biodegradable or compostable nature helps to minimize environmental pollution, making them an eco-friendly choice for many applications. In this project we will explore protein-based biomaterials using bacterial
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: 17-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position at the intersection of optics, molecules and biophysics
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applied electron microscopy. EMAT has several state of the art electron microscopes including three aberration corrected, high end FEI-Titan instruments, a dual beam FIB, an environmental SEM,... EMAT is
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biomineralization plays a critical role in biogeochemical cycling as well as has important environmental applications especially in the area of sustainable construction materials. But much of our knowledge in
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs