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) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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imaging, and organoid models. The main objectives of the project are to determine the specific types of DNA damage induced by mechanical alterations, to characterise the resulting transcription‑stress
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sanctions throughout their lives. This project proposes a paradigm shift: rather than viewing sanctions as standalone events, we aim to examine their effects across the life course. Are you interested in
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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uncertainty significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new sensor prototype developed by the company iFLux to measure real-time groundwater fluxes in the field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, you will be embedded in the research group Computational Imaging and
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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proficiency Strong teamwork and communication skills Ability to work independently, with flexibility, humour and critical thinking Desirable criteria: Experience with medical image analysis Experience with