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Field
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Position Summary The Developmental Speech Lab (DSL) in the Department of Communicative Sciences and Disorders in the College of Communication Arts and Sciences at Michigan State University is
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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