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will be embedded in a closely collaborating interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than
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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Supporting of mobility with a jobticket for using the public transport Easy
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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vivo assessment of cardiac function using mouse echocardiography Preparation of tissue sections (liver and heart) using a microtome In addition to established molecular biological and biochemical methods
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practical tools for the development of new test methods for multifunctional composite components. The focus is on X-ray computed tomography and ultrasound-based methods (pulse-echo ultrasound, guided waves
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networks Analyze and interpret multiome datasets (e.g., transcriptomics, epigenomics and related modalities) Apply advanced computational and statistical methods for integrative analysis of multi-layer
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microbiome composition Apply explainable AI methods to identify robust microbial indicators and interpretable ecological patterns Contribute to the analysis of microbial co-occurrence and interaction
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-end GPUs We will jointly choose tasks based on your expertise and interests. Most important is a strong interest in scientific methods, a solid knowledge foundation (e.g. studying computer science, open
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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. The positions focus on applied machine learning methods for real-world systems. Possible research directions include: Transfer learning and domain adaptation across heterogeneous production environments (e.g