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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. The Cluster of Excellence "Responsible
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research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring
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to develop new cyclic (alkyl)(amino)carbene (CAAC)-based ligands and investigate their coordination chemistry with earth-abundant metals to enable efficient and sustainable hydrogenation catalysis. Catalytic
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to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You
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cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
Regulation in Development and Disease (f/m/x) 102898 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society
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Joint Faculty of Medical Sciences (FMS) and NIHR Applied Research Collaborative North East and North Cumbria (ARC NENC) PhD Studentship – Developing a risk-based care pathway for patients with
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-project is to develop and apply advanced, patient-specific models of the knee joint fo design iteration and optimisation. Specific duties: Develop and apply a finite element model of a knee arthroplasty and
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. Application Deadline: 20 April, 2026 at 24:00 CET. Interviews will take place in late April 2026. Shortlisted candidates will be asked to prepare a 15-minute presentation summarizing their background and
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop