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skills including Word, Excel, G-Suite CRM experience (e.g. Salesforce, Blackbaud, Workday, Slate, or other) or proven ability to proactively learn and use new technologies Available to work some weekend
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of Fitness is also required. Preferred Education: Trade school or other post-elementary education. Required Experience: 5+ years of relevant experience as building operator, building engineer, handyperson
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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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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approaches for modeling biosystems andanalyzing biotech datasets. A core technology employed by the center’s researchers is deep machine learning, which supports the creation of innovative concepts
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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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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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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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in numerical methods or scientific computing. Familiarity with machine learning techniques applied to engineering problems is a plus. Good communication skills and ability to work independently and
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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