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Field
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datasets, high-end GPU and storage infrastructure, international research collaborations, and dedicated funding for international conference participation. Supervision The PhD candidate will be supervised by
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, and validated through simulation and experiments. For experiments, IDLab-UAntwerp's world-class research infrastructure, including GPU Lab, Software Defined Radios and programmable beamformers, as
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understood. Within this position, you will investigate the atomistic mechanisms underlying hydrogen embrittlement (HE) in circular steels, with a particular focus on the role of tramp elements
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. The salary of the position is based on the salary system for the teaching and research staff of Finnish universities. The salary consists of a job-related salary element and a personal salary element. In
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, e.g., git, automated testing, packaging, documentation and code review. Experience with GPU computing or high-performance computing. Interest or experience in LLMs, tool-using agents, or agentic
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funded doctoral position (TV-L E13) International research environment Joint affiliation with Saarland University and DFKI Access to state-of-the-art GPU and HPC infrastructure Collaboration opportunities
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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experience in cleanroom microfabrication, actuator design and characterisation, finite element modelling, rheology, ex vivo tissue methods and cell culture. You will work across engineering and life sciences
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Young people exposed to adversity are at risk of a range of mental health problems including anxiety, depression and conduct-related problems, making adversity a ‘transdiagnostic’ risk factor for
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embrittlement (HE) in circular steels, with a particular focus on the role of tramp elements at experimentally informed microstructural features. You will combine first-principles modelling and machine-learning