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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 2 days ago
Great Apes” Our group We are seeking a curiosity-driven, collaborative PhD student to join the Minerva Fast Track Group “Culture and Social Behavior”, led by Dr. Zoë Goldsborough. The overall focus
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-inspired, method-driven theory to application-driven research. Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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data analysis, and artificial intelligence for medical sensing systems Modeling, simulation, and analysis of biophysical processes as well as medical sensing and communication systems Development
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learning models and data driven FEM simulation models for sheet metal forming processes. The position requires regular on-site presence at our institute in Aachen. The weekly working hours are at least 10
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 18 hours ago
, nanofabrication, quantum photonics, quantum electrodynamics, advanced characterization and theoretical modelling. The two PhD candidates will conduct research in the above-mentioned scientific field, while focusing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D microscopy, and AI-driven pathology have been featured in leading journals (Nature Methods
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models for component segmentation, strategic path planning and process optimisation. The aim is to enable data-driven solutions for the automated analysis of melt pools, porosity and other quality-relevant