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enable cohesive analysis across modalities and length scales. This PhD project is a collaboration between Swansea University and Carl Zeiss, a global leader in microscopy solutions. Both partners
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for existing medications, a strategy that can significantly reduce the time and cost required to bring a drug to market. The project will use AI models such as CycleGANs, that by learning from complex spatial
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will collect ego-centric network data using a novel visualized network-data collection tool specifically designed to survey complex personal networks. Objective 2: examining the effect of recognizing
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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• Opportunity to gain experience in high dimensional computational biology analysis pipelines • Working within a collaborative and inter-disciplinary team of clinicians, molecular biologists and
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Vacancies PhD position on Liveness from causality analysis Key takeaways Programs often suffer from liveness issues - they may get stuck or fail to make progress. How can we address this? Our
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, this work could foster breakthroughs in drug development for AQP-related diseases. The student will build on current research to purify membrane protein ribosome bound nascent chain complexes (RNCs) of AQPs
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research. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field
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Analyze complex datasets from experimental and clinical studies including longitudinal (correlated) data Manuscript preparation and publication Participate in regular project meetings and scientific
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personalized. The candidate will investigate textiles, computational design, and functional validation of hand-worn assistive devices, aiming to create textile exoskeletons that can conform to complex hand