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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes
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Your Job: Research: employ on quantum field theory in curved spacetime to model photon kinematics Output: publish in peer reviewed journals, seek patent applications when possible Dissemination
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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological
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the resilience of drinking water supplies in the affected region for the future, based on laboratory analyses, field investigations and numerical modelling. Tasks: We are looking for a highly motivated researcher