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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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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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ecology in joint work with UZH experts as well as in use of numerical methods via collaboration with RICAM experts the opportunity to gain experience in project organization and co-supervision of a PhD
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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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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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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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) and related to the major multi-national initiative “GOE-DEEP” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the climate at the time of the first rise
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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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explainability methods into LLM-based pipelines Develop and evaluate prompt engineering strategies (zero-shot, few-shot) Support experimental setup, data generation, and evaluation of model behavior Write, test
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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