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Field
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dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing methods to estimate, enriched by physics-based information
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. Develop signal processing methods to estimate, enriched by physics-based information, the current state of the welded structure and its development under fatigue loading. We are looking for a colleague who
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that links the generation and transmission of mechanical forces to cell mechanics and intracellular signalling, with particular emphasis on mechanosensitive calcium signalling. The aim is to determine how the
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tool for process design and laser-scanning strategies, the integration of simulation and experimental pulse-signal data to characterize lateral energy distribution, and the prediction of material removal
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the following criteria: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10. Curricular merits
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the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing, IRIT Laboratory Contact Prof. Radouane
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
Signaling (headed by Dr. Natalie Krahmer) at the Institute for Diabetes and Obesity (IDO) develops and applies organelle-resolved proteomic workflows to investigate the cellular processes underlying