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achieve. Stay current with developments in AI, machine learning, and human-computer interaction to identify opportunities for breakthrough product concepts. Develop structured frameworks for assessing and
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/electronic/computer engineering or electrical/electronics/computer engineering technology or related engineering field or Associate's degree and demonstrated competencies in the teaching discipline Preferred
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and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https
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At the Faculty of Medicine, Department of Health Science and Technology, a position as Assistant Professor in Tongue computer interfacing for computers and roboticsis open for appointment from June
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large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
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: • Minimum of three years of experience in digital accessibility, web/content governance, instructional technology, or related field • Demonstrated experience applying WCAG standards and assistive technology
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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Torbein Kvil Gamst 26th April 2026 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning Apply for this job See advertisement