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Field
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Again – AI-driven Voice Restoration for Pathological Speech • Machine Learning and In Silico Modeling of Sex Differences in Temporomandibular Joint Function • AutoPiX – Machine Learning for Imaging-Based
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for implementing machine learning and/or deep learning algorithms. Capability to work both independently and as part of a team. Excellent written and oral communication and organisational skills. Proficiency in
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second-class undergraduate honours degree in Engineering, Physics or Materials Science Excellent English written and spoken communication skills Being passionate about science, curious, and self-driven
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Farmer Autism Center, the Center for Public Management, the UNT Speech and Hearing Center, the UNT Work Inclusion and Supported Employment (UNTWISE) program, UNT ELEVAR, and several professional
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processes using silicon and germanium to introduce static strain in SOI Explore in-situ incorporation of individual Er ions in SOI device layers Operate and maintain large vacuum/epitaxy systems for isotope
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Again – AI-driven Voice Restoration for Pathological Speech• Machine Learning and In Silico Modeling of Sex Differences in Temporomandibular Joint Function• AutoPiX – Machine Learning for Imaging-Based
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knowledge is established, the processes of transport and burial during turbidity current events remain poorly understood. Previous experimental research into turbidity currents has been fundamental in
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the field of biotechnology, focusing on microbial physiology, precision fermentation, synthetic biology, bioinformatics, enzymes, and enzymatic processes. The purpose of the research is often linked
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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chemistry very good knowledge of organic chemistry knowledge of the English language in speech and writing previous work in the laboratory in the field of organic synthesis Desirable competences experience in