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Field
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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optical communication networks and systems as well as the coding of video signals and data processing. Be a part of our team and come on a journey of research and innovation! What you will do Leading and
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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possible. The professorship is located at the Institute of Medical Data Processing, Biometrics and Epidemiology (IBE) at LMU Munich, and is being advertised jointly with the LGL. The professorship will focus
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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manufacturing and laser material processing. We are currently developing machine learning-based approaches to make the laser powder bed fusion (LPBF) process more efficient and improve its quality. To this end, a
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will