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can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components of the battery using e.g. in
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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that paradigm and explores negative ion mode LC-MS/MS to reveal new molecular insights and enable broader biological discovery This PhD position is part of a vibrant research environment involving other
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that may lead to chronic inflammation. In this project, we aim to pave the way for a paradigm shift in IS treatment, centered on the vision that active resolution of post-stroke inflammation and improved
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on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
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number of novel group leaders will be embedded. The center comprises research programs in clinical research and trials, longitudinal cohort building, multi-modal imaging, biobanks, epidemiology
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model by fine-tuning it for selected use cases Your competencies The PhD candidate is expected to have: A master's degree (120 ECTS points) or enrolled within Electronic Engineering, Computer Engineering
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of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be constructed using rigid
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disease diagnostics. Responsibilities: Design, prototype, and test microfluidic systems for point-of-care biosensing applications Develop implantable or wearable devices for real-time in vivo diagnostics
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modelling and interpretation, but other aspects of neutron science are also relevant, for example QENS, reflectometry, and imaging. The candidate has a strong background in soft matter and experimental